- home
- Advanced Search
- Digital Humanities and Cultural Heritage
- Publications
- Research data
- Other research products
- Preprint
- EU
- Oxford University Research Archive
- Digital Humanities and Cultural Heritage
- Publications
- Research data
- Other research products
- Preprint
- EU
- Oxford University Research Archive
Loading
description Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2023 United Kingdom, Denmark, GermanyPublisher:Copernicus GmbH Funded by:UKRI | ISO-THERM: Isotopic testi..., EC | ICECAP, EC | CONTROLPASTCO2 +1 projectsUKRI| ISO-THERM: Isotopic testing of Earth's weathering thermostat ,EC| ICECAP ,EC| CONTROLPASTCO2 ,EC| V-ECHOM. T. Jones; E. W. Stokke; A. D. Rooney; J. Frieling; P. A. E. Pogge von Strandmann; P. A. E. Pogge von Strandmann; D. J. Wilson; H. H. Svensen; S. Planke; S. Planke; T. Adatte; N. Thibault; M. L. Vickers; T. A. Mather; C. Tegner; V. Zuchuat; B. P. Schultz;Climate of the past 19(8), 1623-1652 (2023). doi:10.5194/cp-19-1623-2023 Published by Copernicus Ges., Katlenburg-Lindau
Oxford University Re... arrow_drop_down Oxford University Research Archive; Climate of the Past (CP); PURE Aarhus University; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemCopernicus Publications; Climate of the Past (CP)Other literature type . 2023Data sources: Copernicus PublicationsPublikationsserver der RWTH Aachen UniversityArticle . 2023Data sources: Publikationsserver der RWTH Aachen Universityhttps://doi.org/10.5194/egusph...Preprint . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/egusphere-2023-36&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!visibility 2visibility views 2 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research Archive; Climate of the Past (CP); PURE Aarhus University; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemCopernicus Publications; Climate of the Past (CP)Other literature type . 2023Data sources: Copernicus PublicationsPublikationsserver der RWTH Aachen UniversityArticle . 2023Data sources: Publikationsserver der RWTH Aachen Universityhttps://doi.org/10.5194/egusph...Preprint . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/egusphere-2023-36&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 United KingdomPublisher:Elsevier BV Funded by:EC | FeedSaxEC| FeedSaxStroud, E; Charles, M; Bogaard, A; Nitsch, E; Hamerow, H;The effect that heating has on cereal grain morphology and isotopic values has far reaching consequences for archaeobotanical research and palaeodietary reconstructions. Stable carbon and nitrogen isotopic data and mass loss percentages on, and photographs of, rye, oat, barley, wheat and spelt from a heating experiment are presented and support Stroud et al. (2023). The experiment heated rye, oat, and spelt at 215 °C, 230 °C, 245 °C, 260 °C and 300 °C for 4 h, 8h and 24 h, with each temperature/duration condition consisting of 3 samples of 10 grains per sample. The mass loss of the grains, the %C and %N, and δ13C and δ15N values are presented. Furthermore, photographs of the grains’ external and internal morphology for each temperature/duration combination are provided. The wheat and barley data of samples charred between 215 °C and 260 °C/ 4–24 h were obtained from the published and unpublished dataset of Nitsch et al. (2015) and it is this dataset which the new data builds upon. This article also provides the published and unpublished data and photographs from Nitsch et al. (2015), bringing together a dataset of nine crop species. This article provides the raw data from two cereal grain heating experiment, which will enable further research into understanding the impact of heating on both grain isotopic values and grain morphology. It also allows users to construct charred-uncharred isotopic offsets for a combination of species relevant to their research.
Oxford University Re... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4431776&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Oxford University Re... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4431776&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Research 2023 United KingdomPublisher:Elsevier BV Funded by:EC | Macro IdentificationEC| Macro IdentificationAuthors: Ikeda, D; Li, S; Mavroeidis, S; Zanetti, F;Ikeda, D; Li, S; Mavroeidis, S; Zanetti, F;Unconventional monetary policy (UMP) may make the effective lower bound (ELB) on the short-term interest rate irrelevant. We develop a theoretical model that under[1]pins our empirical test of this ‘irrelevance hypothesis,’ based on the simple idea that under the hypothesis, the short rate can be excluded in any empirical model that ac[1]counts for alternative measures of monetary policy. We test the hypothesis for Japan and the United States using a structural vector autoregressive model with the ELB. We firmly reject the hypothesis but find that UMP has had strong delayed effects.
Oxford University Re... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2020Data sources: arXiv.org e-Print Archivehttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4265455&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 18visibility views 18 download downloads 16 Powered bymore_vert Oxford University Re... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2020Data sources: arXiv.org e-Print Archivehttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4265455&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:Elsevier BV Funded by:EC | LOLITAEC| LOLITAAuthors: Arroyo, A; Cartea, A; Moreno-Pino, F; Zohren, S;Arroyo, A; Cartea, A; Moreno-Pino, F; Zohren, S;One of the key decisions in execution strategies is the choice between a passive (liquidity providing) or an aggressive (liquidity taking) order to execute a trade in a limit order book (LOB). Essential to this choice is the fill probability of a passive limit order placed in the LOB. This paper proposes a deep learning method to estimate the filltimes of limit orders posted in different levels of the LOB. We develop a novel model for survival analysis that maps time-varying features of the LOB to the distribution of filltimes of limit orders. Our method is based on a convolutional-Transformer encoder and a monotonic neural network decoder. We use proper scoring rules to compare our method with other approaches in survival analysis, and perform an interpretability analysis to understand the informativeness of features used to compute fill probabilities. Our method significantly outperforms those typically used in survival analysis literature. Finally, we carry out a statistical analysis of the fill probability of orders placed in the order book (e.g. within the bid-ask spread) for assets with different queue dynamics and trading activity.
arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print Archivehttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4432087&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print Archivehttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4432087&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022 United Kingdom, Denmark, United States, United KingdomPublisher:Cold Spring Harbor Laboratory Funded by:UKRI | RootDetect: Remote Detect..., EC | ModelGenomLand, NIH | Joint inferences of natur... +2 projectsUKRI| RootDetect: Remote Detection and Precision Management of Root Health ,EC| ModelGenomLand ,NIH| Joint inferences of natural selection between sites and populations ,UKRI| Adaptation and self-fertilisation: from genes to genomes ,EC| MICROSCOPEGraham Gower; Aaron P Ragsdale; Gertjan Bisschop; Ryan N Gutenkunst; Matthew Hartfield; Ekaterina Noskova; Stephan Schiffels; Travis J Struck; Jerome Kelleher; Kevin R Thornton;AbstractUnderstanding the demographic history of populations is a key goal in population genetics, and with improving methods and data, ever more complex models are being proposed and tested. Demographic models of current interest typically consist of a set of discrete populations, their sizes and growth rates, and continuous and pulse migrations between those populations over a number of epochs, which can require dozens of parameters to fully describe. There is currently no standard format to define such models, significantly hampering progress in the field. In particular, the important task of translating the model descriptions in published work into input suitable for population genetic simulators is labor intensive and error prone. We propose the Demes data model and file format, built on widely used technologies, to alleviate these issues. Demes provides a well-defined and unambiguous model of populations and their properties that is straightforward to implement in software, and a text file format that is designed for simplicity and clarity. We provide thoroughly tested implementations of Demes parsers in multiple languages including Python and C, and showcase initial support in several simulators and inference methods. An introduction to the file format and a detailed specification are available at:https://popsim-consortium.github.io/demes-spec-docs/.
Genetics arrow_drop_down Oxford University Research ArchiveArticle . 2022License: CC BYData sources: Oxford University Research ArchiveCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.05.31.494112&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 2visibility views 2 download downloads 3 Powered bymore_vert Genetics arrow_drop_down Oxford University Research ArchiveArticle . 2022License: CC BYData sources: Oxford University Research ArchiveCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.05.31.494112&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Elsevier BV Funded by:EC | AtoFunEC| AtoFunHe, Guanze; Yu, Hongbing; Karamched, Phani; Liu, Junliang; Hofmann, Felix;Elastic interactions play an important role in controlling irradiation damage evolution, but remain largely unexplored experimentally. Using transmission electron microscopy (TEM) and high-resolution on-axis transmission Kikuchi diffraction (HR-TKD), we correlate the evolution of irradiation-induced damage structures and the associated lattice strains in self-ion irradiated pure tungsten. TEM reveals different dislocation loop structures as a function of sample thickness, suggesting that free surfaces limit the formation of extended defect structures that are found in thicker samples. HR-TKD strain analysis shows the formation of crystallographically-orientated long-range strain fluctuations above 0.01 dpa and a decrease of total elastic energy above 0.1 dpa.
Oxford University Re... arrow_drop_down Oxford University Research Archive; Scripta MaterialiaArticle . 2023 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2022Data sources: arXiv.org e-Print Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4291457&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 1visibility views 1 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research Archive; Scripta MaterialiaArticle . 2023 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2022Data sources: arXiv.org e-Print Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4291457&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022 United KingdomPublisher:Elsevier BV Funded by:EC | GenTime, UKRI | The Future of Unpaid Work..., EC | FAMSIZEMATTERSEC| GenTime ,UKRI| The Future of Unpaid Work: AI's potential to transform unpaid domestic work in the UK and Japan ,EC| FAMSIZEMATTERSLehdonvirta, V; Shi, LP; Hertog, E; Nagase, N; Ohta, Y;pmid: 36812184
pmc: PMC9946198
The future of work has become a prominent topic for research and policy debate. However, the debate has focused entirely on paid work, even though people in industrialized countries on average spend comparable amounts of time on unpaid work. The objectives of this study are therefore (1) to expand the future of work debate to unpaid domestic work and (2) to critique the main methodology used in previous studies. To these ends, we conducted a forecasting exercise in which 65 AI experts from the UK and Japan estimated how automatable are 17 housework and care work tasks. Unlike previous studies, we applied a sociological approach that considers how experts’ diverse backgrounds might shape their estimates. On average our experts predicted that 39 percent of the time spent on a domestic task will be automatable within ten years. Japanese male experts were notably pessimistic about the potentials of domestic automation, a result we interpret through gender disparities in the Japanese household. Our contributions are providing the first quantitative estimates concerning the future of unpaid work and demonstrating how such predictions are socially contingent, with implications to forecasting methodology.
Oxford University Re... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4017695&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 3visibility views 3 Powered bymore_vert Oxford University Re... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4017695&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Germany, United KingdomPublisher:Elsevier BV Funded by:EC | FunBlocksEC| FunBlocksLuo, W.; Xie, Z.; Sun, P.-L.; Gibson, J.S.K.-L.; Korte-Kerzel, S.;The µ phase is a common precipitation phase in superalloys and it exists in a wide composition and temperature range. As such, we study the influences of composition and temperature on its plasticity by micropillar compression tests and transmission electron microscopy. The micropillars of the μ-Co7Nb6 phase deform plastically by basal slip at room temperature and 600 °C. At room temperature, the Co-49Nb and Co-52Nb micropillars show high yield stresses and an abrupt large strain burst at the onset of yielding regardless of orientation, whereas the Co-54Nb micropillars oriented for basal slip yield at much lower stresses and show intermittent small strain bursts during plastic deformation. While the Co-49Nb micropillars deform by full dislocation slip on the basal plane at room temperature, the Co-54Nb micropillars deform by partial dislocation slip on the basal plane. At 600 °C, the Co-49Nb micropillars oriented for basal slip show stable and continuous plasticity and their critical resolved shear stresses decrease dramatically. In contrast to the full dislocation slip at room temperature, the plastic deformation of the Co-49Nb micropillars occurs via partial dislocation slip on the basal plane at 600 °C. Based on the geometric γ-surfaces for all potential basal slip planes, we explore where and why the glide of full and partial dislocations on the basal plane occurs in the μ-Co7Nb6 phase.
Oxford University Re... arrow_drop_down Oxford University Research ArchiveArticle . 2023License: CC BY NC NDData sources: Oxford University Research ArchivearXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print ArchivePublikationsserver der RWTH Aachen UniversityArticle . 2023Data sources: Publikationsserver der RWTH Aachen Universityhttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4192336&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Oxford University Re... arrow_drop_down Oxford University Research ArchiveArticle . 2023License: CC BY NC NDData sources: Oxford University Research ArchivearXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print ArchivePublikationsserver der RWTH Aachen UniversityArticle . 2023Data sources: Publikationsserver der RWTH Aachen Universityhttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4192336&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022 United KingdomPublisher:Elsevier BV Funded by:UKRI | The Future of Unpaid Work..., EC | FAMSIZEMATTERS, EC | GenTimeUKRI| The Future of Unpaid Work: AI's potential to transform unpaid domestic work in the UK and Japan ,EC| FAMSIZEMATTERS ,EC| GenTimeEkaterina Hertog; Setsuya Fukuda; Rikiya Matsukura; Nobuko Nagase; Vili Lehdonvirta;Unpaid household work is vital for human reproduction and enables all other forms of work. However, debates about the “future of work” have yet to address unpaid work. In this article, we present first estimates of the impacts of “smart” and “AI” technologies on unpaid work. We ask what the likelihood is of various types of unpaid work being automated, and how this would change the time spent on domestic work and on the gendered division of labour. To achieve this, we adapt three established automation likelihood estimates for paid work occupations to estimate the automation likelihood of 19 unpaid work tasks. Applying these estimates to Japanese and UK national time use data, we find that 50-60% of the total time spent on unpaid work could be saved through automation. The savings are unevenly distributed: a woman aged 20-59 in Japan could save over 1,000 hours per year, whereas men in the UK could save 600 hours and men in Japan only 250 hours. Domestic automation could free up to 9.3% of women in Japan and 5.8% of women in the UK to take up full- or part-time employment, pointing to substantial potential economic and social gains from domestic automation.
Oxford University Re... arrow_drop_down Oxford University Research Archive; Technological Forecasting and Social ChangeArticle . 2023 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4071394&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 9visibility views 9 download downloads 3 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research Archive; Technological Forecasting and Social ChangeArticle . 2023 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4071394&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2022 United Kingdom, ItalyPublisher:Association for Computational Linguistics (ACL) Funded by:EC | INTEGRATOREC| INTEGRATORAuthors: Röttger, P; Vidgen, B; Hovy, D; Pierrehumbert, JB;Röttger, P; Vidgen, B; Hovy, D; Pierrehumbert, JB;handle: 11565/4053221
Labelled data is the foundation of most natural language processing tasks. However, labelling data is difficult and there often are diverse valid beliefs about what the correct data labels should be. So far, dataset creators have acknowledged annotator subjectivity, but rarely actively managed it in the annotation process. This has led to partly-subjective datasets that fail to serve a clear downstream use. To address this issue, we propose two contrasting paradigms for data annotation. The descriptive paradigm encourages annotator subjectivity, whereas the prescriptive paradigm discourages it. Descriptive annotation allows for the surveying and modelling of different beliefs, whereas prescriptive annotation enables the training of models that consistently apply one belief. We discuss benefits and challenges in implementing both paradigms, and argue that dataset creators should explicitly aim for one or the other to facilitate the intended use of their dataset. Lastly, we conduct an annotation experiment using hate speech data that illustrates the contrast between the two paradigms. Accepted at NAACL 2022 (Main Conference)
Oxford University Re... arrow_drop_down Oxford University Research Archive; Archivio istituzionale della Ricerca - BocconiConference object . 2024 . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveArchivio istituzionale della Ricerca - BocconiConference object . 2022Data sources: Archivio istituzionale della Ricerca - Bocconiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18653/v1/2022.naacl-main.13&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Oxford University Re... arrow_drop_down Oxford University Research Archive; Archivio istituzionale della Ricerca - BocconiConference object . 2024 . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveArchivio istituzionale della Ricerca - BocconiConference object . 2022Data sources: Archivio istituzionale della Ricerca - Bocconiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18653/v1/2022.naacl-main.13&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
Loading
description Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2023 United Kingdom, Denmark, GermanyPublisher:Copernicus GmbH Funded by:UKRI | ISO-THERM: Isotopic testi..., EC | ICECAP, EC | CONTROLPASTCO2 +1 projectsUKRI| ISO-THERM: Isotopic testing of Earth's weathering thermostat ,EC| ICECAP ,EC| CONTROLPASTCO2 ,EC| V-ECHOM. T. Jones; E. W. Stokke; A. D. Rooney; J. Frieling; P. A. E. Pogge von Strandmann; P. A. E. Pogge von Strandmann; D. J. Wilson; H. H. Svensen; S. Planke; S. Planke; T. Adatte; N. Thibault; M. L. Vickers; T. A. Mather; C. Tegner; V. Zuchuat; B. P. Schultz;Climate of the past 19(8), 1623-1652 (2023). doi:10.5194/cp-19-1623-2023 Published by Copernicus Ges., Katlenburg-Lindau
Oxford University Re... arrow_drop_down Oxford University Research Archive; Climate of the Past (CP); PURE Aarhus University; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemCopernicus Publications; Climate of the Past (CP)Other literature type . 2023Data sources: Copernicus PublicationsPublikationsserver der RWTH Aachen UniversityArticle . 2023Data sources: Publikationsserver der RWTH Aachen Universityhttps://doi.org/10.5194/egusph...Preprint . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/egusphere-2023-36&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!visibility 2visibility views 2 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research Archive; Climate of the Past (CP); PURE Aarhus University; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemCopernicus Publications; Climate of the Past (CP)Other literature type . 2023Data sources: Copernicus PublicationsPublikationsserver der RWTH Aachen UniversityArticle . 2023Data sources: Publikationsserver der RWTH Aachen Universityhttps://doi.org/10.5194/egusph...Preprint . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/egusphere-2023-36&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 United KingdomPublisher:Elsevier BV Funded by:EC | FeedSaxEC| FeedSaxStroud, E; Charles, M; Bogaard, A; Nitsch, E; Hamerow, H;The effect that heating has on cereal grain morphology and isotopic values has far reaching consequences for archaeobotanical research and palaeodietary reconstructions. Stable carbon and nitrogen isotopic data and mass loss percentages on, and photographs of, rye, oat, barley, wheat and spelt from a heating experiment are presented and support Stroud et al. (2023). The experiment heated rye, oat, and spelt at 215 °C, 230 °C, 245 °C, 260 °C and 300 °C for 4 h, 8h and 24 h, with each temperature/duration condition consisting of 3 samples of 10 grains per sample. The mass loss of the grains, the %C and %N, and δ13C and δ15N values are presented. Furthermore, photographs of the grains’ external and internal morphology for each temperature/duration combination are provided. The wheat and barley data of samples charred between 215 °C and 260 °C/ 4–24 h were obtained from the published and unpublished dataset of Nitsch et al. (2015) and it is this dataset which the new data builds upon. This article also provides the published and unpublished data and photographs from Nitsch et al. (2015), bringing together a dataset of nine crop species. This article provides the raw data from two cereal grain heating experiment, which will enable further research into understanding the impact of heating on both grain isotopic values and grain morphology. It also allows users to construct charred-uncharred isotopic offsets for a combination of species relevant to their research.
Oxford University Re... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4431776&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Oxford University Re... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4431776&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Research 2023 United KingdomPublisher:Elsevier BV Funded by:EC | Macro IdentificationEC| Macro IdentificationAuthors: Ikeda, D; Li, S; Mavroeidis, S; Zanetti, F;Ikeda, D; Li, S; Mavroeidis, S; Zanetti, F;Unconventional monetary policy (UMP) may make the effective lower bound (ELB) on the short-term interest rate irrelevant. We develop a theoretical model that under[1]pins our empirical test of this ‘irrelevance hypothesis,’ based on the simple idea that under the hypothesis, the short rate can be excluded in any empirical model that ac[1]counts for alternative measures of monetary policy. We test the hypothesis for Japan and the United States using a structural vector autoregressive model with the ELB. We firmly reject the hypothesis but find that UMP has had strong delayed effects.
Oxford University Re... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2020Data sources: arXiv.org e-Print Archivehttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4265455&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 18visibility views 18 download downloads 16 Powered bymore_vert Oxford University Re... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2020Data sources: arXiv.org e-Print Archivehttps://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4265455&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:Elsevier BV Funded by:EC | LOLITAEC| LOLITAAuthors: Arroyo, A; Cartea, A; Moreno-Pino, F; Zohren, S;Arroyo, A; Cartea, A; Moreno-Pino, F; Zohren, S;One of the key decisions in execution strategies is the choice between a passive (liquidity providing) or an aggressive (liquidity taking) order to execute a trade in a limit order book (LOB). Essential to this choice is the fill probability of a passive limit order placed in the LOB. This paper proposes a deep learning method to estimate the filltimes of limit orders posted in different levels of the LOB. We develop a novel model for survival analysis that maps time-varying features of the LOB to the distribution of filltimes of limit orders. Our method is based on a convolutional-Transformer encoder and a monotonic neural network decoder. We use proper scoring rules to compare our method with other approaches in survival analysis, and perform an interpretability analysis to understand the informativeness of features used to compute fill probabilities. Our method significantly outperforms those typically used in survival analysis literature. Finally, we carry out a statistical analysis of the fill probability of orders placed in the order book (e.g. within the bid-ask spread) for assets with different queue dynamics and trading activity.
arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print Archivehttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4432087&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print Archivehttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4432087&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022 United Kingdom, Denmark, United States, United KingdomPublisher:Cold Spring Harbor Laboratory Funded by:UKRI | RootDetect: Remote Detect..., EC | ModelGenomLand, NIH | Joint inferences of natur... +2 projectsUKRI| RootDetect: Remote Detection and Precision Management of Root Health ,EC| ModelGenomLand ,NIH| Joint inferences of natural selection between sites and populations ,UKRI| Adaptation and self-fertilisation: from genes to genomes ,EC| MICROSCOPEGraham Gower; Aaron P Ragsdale; Gertjan Bisschop; Ryan N Gutenkunst; Matthew Hartfield; Ekaterina Noskova; Stephan Schiffels; Travis J Struck; Jerome Kelleher; Kevin R Thornton;AbstractUnderstanding the demographic history of populations is a key goal in population genetics, and with improving methods and data, ever more complex models are being proposed and tested. Demographic models of current interest typically consist of a set of discrete populations, their sizes and growth rates, and continuous and pulse migrations between those populations over a number of epochs, which can require dozens of parameters to fully describe. There is currently no standard format to define such models, significantly hampering progress in the field. In particular, the important task of translating the model descriptions in published work into input suitable for population genetic simulators is labor intensive and error prone. We propose the Demes data model and file format, built on widely used technologies, to alleviate these issues. Demes provides a well-defined and unambiguous model of populations and their properties that is straightforward to implement in software, and a text file format that is designed for simplicity and clarity. We provide thoroughly tested implementations of Demes parsers in multiple languages including Python and C, and showcase initial support in several simulators and inference methods. An introduction to the file format and a detailed specification are available at:https://popsim-consortium.github.io/demes-spec-docs/.
Genetics arrow_drop_down Oxford University Research ArchiveArticle . 2022License: CC BYData sources: Oxford University Research ArchiveCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.05.31.494112&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 2visibility views 2 download downloads 3 Powered bymore_vert Genetics arrow_drop_down Oxford University Research ArchiveArticle . 2022License: CC BYData sources: Oxford University Research ArchiveCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.05.31.494112&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United KingdomPublisher:Elsevier BV Funded by:EC | AtoFunEC| AtoFunHe, Guanze; Yu, Hongbing; Karamched, Phani; Liu, Junliang; Hofmann, Felix;Elastic interactions play an important role in controlling irradiation damage evolution, but remain largely unexplored experimentally. Using transmission electron microscopy (TEM) and high-resolution on-axis transmission Kikuchi diffraction (HR-TKD), we correlate the evolution of irradiation-induced damage structures and the associated lattice strains in self-ion irradiated pure tungsten. TEM reveals different dislocation loop structures as a function of sample thickness, suggesting that free surfaces limit the formation of extended defect structures that are found in thicker samples. HR-TKD strain analysis shows the formation of crystallographically-orientated long-range strain fluctuations above 0.01 dpa and a decrease of total elastic energy above 0.1 dpa.
Oxford University Re... arrow_drop_down Oxford University Research Archive; Scripta MaterialiaArticle . 2023 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2022Data sources: arXiv.org e-Print Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4291457&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 1visibility views 1 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research Archive; Scripta MaterialiaArticle . 2023 . Peer-reviewedLicense: Elsevier TDMarXiv.org e-Print ArchiveOther literature type . Preprint . 2022Data sources: arXiv.org e-Print Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4291457&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022 United KingdomPublisher:Elsevier BV Funded by:EC | GenTime, UKRI | The Future of Unpaid Work..., EC | FAMSIZEMATTERSEC| GenTime ,UKRI| The Future of Unpaid Work: AI's potential to transform unpaid domestic work in the UK and Japan ,EC| FAMSIZEMATTERSLehdonvirta, V; Shi, LP; Hertog, E; Nagase, N; Ohta, Y;pmid: 36812184
pmc: PMC9946198
The future of work has become a prominent topic for research and policy debate. However, the debate has focused entirely on paid work, even though people in industrialized countries on average spend comparable amounts of time on unpaid work. The objectives of this study are therefore (1) to expand the future of work debate to unpaid domestic work and (2) to critique the main methodology used in previous studies. To these ends, we conducted a forecasting exercise in which 65 AI experts from the UK and Japan estimated how automatable are 17 housework and care work tasks. Unlike previous studies, we applied a sociological approach that considers how experts’ diverse backgrounds might shape their estimates. On average our experts predicted that 39 percent of the time spent on a domestic task will be automatable within ten years. Japanese male experts were notably pessimistic about the potentials of domestic automation, a result we interpret through gender disparities in the Japanese household. Our contributions are providing the first quantitative estimates concerning the future of unpaid work and demonstrating how such predictions are socially contingent, with implications to forecasting methodology.
Oxford University Re... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4017695&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 3visibility views 3 Powered bymore_vert Oxford University Re... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4017695&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Germany, United KingdomPublisher:Elsevier BV Funded by:EC | FunBlocksEC| FunBlocksLuo, W.; Xie, Z.; Sun, P.-L.; Gibson, J.S.K.-L.; Korte-Kerzel, S.;The µ phase is a common precipitation phase in superalloys and it exists in a wide composition and temperature range. As such, we study the influences of composition and temperature on its plasticity by micropillar compression tests and transmission electron microscopy. The micropillars of the μ-Co7Nb6 phase deform plastically by basal slip at room temperature and 600 °C. At room temperature, the Co-49Nb and Co-52Nb micropillars show high yield stresses and an abrupt large strain burst at the onset of yielding regardless of orientation, whereas the Co-54Nb micropillars oriented for basal slip yield at much lower stresses and show intermittent small strain bursts during plastic deformation. While the Co-49Nb micropillars deform by full dislocation slip on the basal plane at room temperature, the Co-54Nb micropillars deform by partial dislocation slip on the basal plane. At 600 °C, the Co-49Nb micropillars oriented for basal slip show stable and continuous plasticity and their critical resolved shear stresses decrease dramatically. In contrast to the full dislocation slip at room temperature, the plastic deformation of the Co-49Nb micropillars occurs via partial dislocation slip on the basal plane at 600 °C. Based on the geometric γ-surfaces for all potential basal slip planes, we explore where and why the glide of full and partial dislocations on the basal plane occurs in the μ-Co7Nb6 phase.
Oxford University Re... arrow_drop_down Oxford University Research ArchiveArticle . 2023License: CC BY NC NDData sources: Oxford University Research ArchivearXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print ArchivePublikationsserver der RWTH Aachen UniversityArticle . 2023Data sources: Publikationsserver der RWTH Aachen Universityhttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4192336&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Oxford University Re... arrow_drop_down Oxford University Research ArchiveArticle . 2023License: CC BY NC NDData sources: Oxford University Research ArchivearXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print ArchivePublikationsserver der RWTH Aachen UniversityArticle . 2023Data sources: Publikationsserver der RWTH Aachen Universityhttps://doi.org/10.48550/arxiv...Article . 2023License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4192336&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022 United KingdomPublisher:Elsevier BV Funded by:UKRI | The Future of Unpaid Work..., EC | FAMSIZEMATTERS, EC | GenTimeUKRI| The Future of Unpaid Work: AI's potential to transform unpaid domestic work in the UK and Japan ,EC| FAMSIZEMATTERS ,EC| GenTimeEkaterina Hertog; Setsuya Fukuda; Rikiya Matsukura; Nobuko Nagase; Vili Lehdonvirta;Unpaid household work is vital for human reproduction and enables all other forms of work. However, debates about the “future of work” have yet to address unpaid work. In this article, we present first estimates of the impacts of “smart” and “AI” technologies on unpaid work. We ask what the likelihood is of various types of unpaid work being automated, and how this would change the time spent on domestic work and on the gendered division of labour. To achieve this, we adapt three established automation likelihood estimates for paid work occupations to estimate the automation likelihood of 19 unpaid work tasks. Applying these estimates to Japanese and UK national time use data, we find that 50-60% of the total time spent on unpaid work could be saved through automation. The savings are unevenly distributed: a woman aged 20-59 in Japan could save over 1,000 hours per year, whereas men in the UK could save 600 hours and men in Japan only 250 hours. Domestic automation could free up to 9.3% of women in Japan and 5.8% of women in the UK to take up full- or part-time employment, pointing to substantial potential economic and social gains from domestic automation.
Oxford University Re... arrow_drop_down Oxford University Research Archive; Technological Forecasting and Social ChangeArticle . 2023 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4071394&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 9visibility views 9 download downloads 3 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research Archive; Technological Forecasting and Social ChangeArticle . 2023 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2139/ssrn.4071394&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2022 United Kingdom, ItalyPublisher:Association for Computational Linguistics (ACL) Funded by:EC | INTEGRATOREC| INTEGRATORAuthors: Röttger, P; Vidgen, B; Hovy, D; Pierrehumbert, JB;Röttger, P; Vidgen, B; Hovy, D; Pierrehumbert, JB;handle: 11565/4053221
Labelled data is the foundation of most natural language processing tasks. However, labelling data is difficult and there often are diverse valid beliefs about what the correct data labels should be. So far, dataset creators have acknowledged annotator subjectivity, but rarely actively managed it in the annotation process. This has led to partly-subjective datasets that fail to serve a clear downstream use. To address this issue, we propose two contrasting paradigms for data annotation. The descriptive paradigm encourages annotator subjectivity, whereas the prescriptive paradigm discourages it. Descriptive annotation allows for the surveying and modelling of different beliefs, whereas prescriptive annotation enables the training of models that consistently apply one belief. We discuss benefits and challenges in implementing both paradigms, and argue that dataset creators should explicitly aim for one or the other to facilitate the intended use of their dataset. Lastly, we conduct an annotation experiment using hate speech data that illustrates the contrast between the two paradigms. Accepted at NAACL 2022 (Main Conference)
Oxford University Re... arrow_drop_down Oxford University Research Archive; Archivio istituzionale della Ricerca - BocconiConference object . 2024 . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveArchivio istituzionale della Ricerca - BocconiConference object . 2022Data sources: Archivio istituzionale della Ricerca - Bocconiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18653/v1/2022.naacl-main.13&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Oxford University Re... arrow_drop_down Oxford University Research Archive; Archivio istituzionale della Ricerca - BocconiConference object . 2024 . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveArchivio istituzionale della Ricerca - BocconiConference object . 2022Data sources: Archivio istituzionale della Ricerca - Bocconiadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18653/v1/2022.naacl-main.13&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu