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TextDescriptives is a Python package for calculating a large variety of statistics from text. It is built on top of spaCy and can be easily integrated into existing workflows. The package has already been used for analysing the linguistic stability of clinical texts, creating features for predicting neuropsychiatric conditions, and analysing linguistic goals of primary school students. This paper describes the package and its features.

Source: The Professor: A Tale : ELTec edition : ELTeC Edition

Abstract copyright UK Data Service and data collection copyright owner. The Annual Survey of Hours and Earnings, 2020: Synthetic Data Pilot is a synthetic version of the Annual Survey of Hours and Earnings (ASHE) study available via Trusted Research Environments (TREs). ASHE is one of the most extensive surveys of the earnings of individuals in the UK. Data on the wages, paid hours of work, and pensions arrangements of nearly one per cent of the working population are collected. Other variables relating to age, occupation and industrial classification are also available. The ASHE sample is drawn from National Insurance records for working individuals, and the survey forms are sent to their respective employers to complete. ASHE is available for research projects demonstrating public good to accredited or approved researchers via TREs such as the Office for National Statistics Secure Research Service (SRS) or the UK Data Service Secure Lab (at SN 6689). To access collections stored within TREs, researchers need to undergo an accreditation process. Gaining access to data in a secure environment can be time and resource intensive. This pilot has created a low fidelity, low disclosure risk synthetic version of ASHE data, which can be made available to researchers more quickly while they wait for access to the real data.The synthetic data were created using the Synthpop package in R. The sample method was used; this takes a simple random sample with replacement from the real values. The project was carried out in the period between 19th December 2022 and 3rd January 2023. Further information is available within the documentation. User feedback received through this pilot will help the ONS to maximise benefits of data access and further explore the feasibility of synthesising more data in future. Main Topics: The ASHE synthetic data contain the same variables as ASHE for each individual, relating to wages, hours of work, pension arrangements, and occupation and industrial classifications. There are also variables for age, gender and full/part-time status. Because ASHE data are collected by the employer, there are also variables relating to the organisation employing the individual. These include employment size and legal status (e.g. public company). Various geography variables are included in the data files. The year variable in this synthetic dataset is 2020. Simple random sample Compilation/Synthesis

This deliverable reports on the work carried out in Task 6.2 of WP6 (actions for preventive protection - subtask to Task 6.2), which concerns preliminary actions for preventive protection, namely measurement devices and data loggers installation, in selected representative sites (museum building, storage hangar open or closed, possibly roofed).

This dataset contains information about metal objects and fragments of metal objects from five Swedish hoard finds from the Late Bronze Age. The main purpose of this data collection was to create a basis for a study of fragmented bronze objects in the so-called ‘scrap hoards’ from this period. The research focus in the dataset is on describing the incomplete objects in these depositions, and to determine/estimate to what degree the fragmentation is due to prehistoric actions (broken during the Bronze Age) or if it might be recent. The questions in focus for this study was which object types were fragmented versus not fragmented, and, to what degree the original object type could be recognized from the fragments. This study is presented in a scientific paper in English. This pilot study is part of a larger project run by Anna Sörman, studying the circulation, use and deposition of fragmented bronze objects, based on studies in north-western France and southern Scandinavia. The dataset gathers information about the contents of these hoards which have previously been published by Andreas Oldeberg (1927, 1928, 1929, 1934), and the images and details about the finds available in the inventory catalogue (online) of the Swedish History Museum. In one case (the Härnevi hoard), the finds have also been studied first-hand by Anna Sörman, in the storage of the Swedish History Museum. As the focus of the project is on the metalwork objects, the few finds of other materials present in some of these hoards (stone, ceramics, organic materials) have not been included in the dataset. Two source critical factors should be particularly highlighted regarding the quality of the data. Firstly, these hoards, found between years 1853-1926, have all been collected by private individuals. They have been found during agricultural labour and various groundworks. This means that they should not be expected to be complete, as for example small fragments are likely to have been overlooked. Secondly, the information in the dataset is mainly from secondary sources (with Härnevi as the only exception), which means that renewed primary studies of the material – with special focus on breaks and fragments – would probably lead to certain revisions. Finally it should also be pointed out that, in some cases, it has not been possible to evaluate the probable age of the fracture. This might be due to a lack of information in the secondary sources (published articles and inventory catalogue), or that the object and the patina of the break is too ambigious to be determined. These cases of uncertainty are shown in the dataset under the column “Old break(s)” which is given as either "y" (yes), "n" (no), "y?" (yes?), "n?" (no?), or "?" (indeterminable). The information in the dataset is structured under the following columns: 1. No = Serial number in the table 2. Study no = Unique number for each object in this study, featuring the number of the hoard (1-5) followed by the number of the item in the hoard, where fragments from the same object are designated by the same number, followed by a serial sub-number. Study no "1.3.1" and "1.3.2." are thus two pieces of the third object listed from hoard 1 (Bräckan). For objects which have been broken in modern times, the fragments have not been given individual sub-numbers. 3. Object type = Functional category of the listed object, such as "Sword" or "Socketed axehead". Objects whose function/type has not been possible to determine are listed as "Unidentified". 4. Complete (yes/no) = Defines the object as complete or incomplete. 5. Old break(s) = Defines if the break(s) on incomplete objects are judged as ancient or recent, based on information in the documentation (often notes about patina, or accidental breaks at the time of discovery etc.) 6. >50% = An estimation of the proportion of the full object (more than 50% or not) represented by an incomplete object piece. >50% y/n is only filled in for objects with ancient breaks. It has not always been possible to estimate/determine and this information it is therefore not consistently provided. 7. Other damages = Notes of any other signs of damage on the object, such as "Bent" or "Crushed". 8. Comments about the fragmentation = Additional, descriptive information about break/fracture(s). 9. Likely to be deliberately fragmented = Interpretative classification based on an assessment of the compiled information about the incomplete objects (patina on break, fragment piece, other damages etc.). Note that not all objects that has "y" at Ancient break has "x" under the column Likely to be deliberately fragmented. Some cases have been excluded, either because they have been judged as too uncertain, or because older breaks can be interpreted as use-damage rather than intentional fragmentation. 10. Site = The place-name of the find site of the hoard to which the item belongs. 11. Parish = The name of the parish where the hoard find was made. 12. Museum no = Inventory number under which the object is stored. 13. Find year = The year of discovery for the hoard to which the item belongs. 14. Comments about date/type = Any further information about the dating or typological determination of the specific object. 15. General comment = Any further comments about the item. 16. Weight (g.) = The weight (in grams) of individual items (only for the Härnevi hoard). Denna datasamling innehåller uppgifter om metallföremål och metallföremålsfragment från fem svenska depåfynd från yngre bronsålder. Det huvudsakliga syftet med sammanställningen var att skapa ett underlag till en studie om fragmenterade bronsföremål i periodens så kallade "skrotdepåer". Forskningsfokus i datasamlingen ligger på att beskriva de ofullständiga föremålen i depåerna, och att bedöma i vilken mån fragmenteringen är förhistorisk (sönderbrutet under bronsåldern) eller recent. Frågorna som stod i fokus för studien var vilka föremålstyper som fragmenterats och inte fragmenterats, samt i vilken mån den ursprungliga föremålstypen kan urskiljas utifrån fragmenten. Denna studie presenteras i en vetenskaplig artikel på engelska. Pilotstudien ingick i det större projekt som Anna Sörman bedriver rörande cirkulation, bruk och deponering av fragmenterade bronsföremål, baserat på studier i nordvästra Frankrike och södra Skandinavien. Datainsamlingen bygger på uppgifter om depåfyndens innehåll som publicerats i tidigare artiklar av Andreas Oldeberg (1927, 1928, 1929, 1934) samt uppgifter och bilder om fynden i inventariekatalogen (online) för Statens Historiska Museum. I ett fall (Härnevi-depån) har fynden studerats på plats i Statens Historiska Museums magasin av Anna Sörman. Då fokus i projektet ligger på metallföremålen har de fåtal fynd av andra material som finns i några av depåerna (sten, keramik, organiskt material) ej medtagits i datasamlingen. Två viktiga källkritiska faktorer bör lyftas fram som egenskaper hos data. För det första är depå-fynden, som är hittade mellan åren 1853-1926, insamlade av privatpersoner. De har hittats vid olika markarbeten och vid jordbruk. Detta innebär att de inte kan förväntas vara helt fullständiga, till exempel kan små fragment ha förbisetts. För det andra bygger uppgifterna i datasamlingen främst på sekundära uppgifter (undantaget Härnevi), vilket innebär att en ny värdering av föremålen - med särskilt fokus på brott och fragment – förmodligen skulle innebära vissa omvärderingar. Slutligen bör det också påpekas att det i vissa fall inte varit möjligt att utvärdera brottytans sannolika ålder. Antingen för att detta inte beskrivs i sekundärkällorna (artiklar och inventariekataloger) eller för att föremålet och brottets patina är för svårbedömt. Denna osäkerhetsfaktor framgår i datasamlingen där kolumnen "Old break(s)" kan anges som antingen "y" (yes), "n" (no), "y?" (yes?), "n?" (no?), eller "?" (indeterminable). Informationen i datasetet är strukturerad under följande kolumner: 1. No. = Löpnummer i tabellen/datasetet 2. Study no = Unikt nummer för varje föremål i studien, innehållande numret för depån (1-5) följt av vilket föremål i ordningen det är från denna depå, där flera fragment av samma föremål ges samma nummer, följt av löpande undernummer. Study no ”1.3.1.” och ”1.3.2.” är alltså två olika fragment av föremål nr. 3 från depå 1 (Bräckan). För föremål som brytits sönder i modern tid har fragmenten inte givits olika undernummer. 3. Object type = Funktionell kategori för det listade föremålet, såsom svärd eller holkyxa. Föremål där funktionen/typen inte kan bestämmas listas som oidentifierade (”Unidentified”). 4. Complete (yes/no) = Anger om metallföremålet är komplett eller inkomplett. 5. Old break(s) = Anger om brottet/brotten på de inkompletta objekten bedöms som förhistoriska eller recenta, baserat på informationen i dokumentationen (ofta noteringar angående patina, eller oavsiktliga brott i samband med upphittandet etc.). 6. >50% = En uppskattning av hur stor del av det ursprungliga föremålet (mer än 50% eller inte) som representeras av en ofullständig del/fragment. >50% y/n är bara angivet för föremål med gamla brott. Det har inte alltid varit möjlig att ange/uppskatta och är inte konsekvent ifylld. 7. Other damages = Noteringar om andra eventuella skador på föremålet, t.ex. böjt (”Bent”) eller krossat (”Crushed”). 8. Comments about the fragmentation = Mer detaljerad information/beskrivning om brottytans utseende eller fragmenteringen. 9. Likely to be deliberately fragmented = Tolkade klassifikation baserad på bedömning av den samlade informationen om ofullständiga föremål (patina på brottytan, typ av del, andra skador etc.). Notera att inte samtliga föremål som har "y" på Ancient break också har "x" i kolumnen Likely to be deliberately fragmented. Detta beror på att vissa fall exkluderats, antingen för att de bedömts som osäkra, eller för att äldre brott kan tolkas som bruksskada snarare än en avsiktlig sönderbrytning. 10 Site = Platsnamnet för fyndplatsen för depåfyndet där föremålet hittades. 11. Parish = Namnet på socknen där föremålet (depån) hittades. 12. Museum no = Inventarienumret under vilket fyndet förvaltas på museum. 13. Find year = Året då fyndet/depån hittades. 14. Comments about date/type = Ytterligare information om datering eller typologisk bestämning av föremålet. 15. General comment = Ev. ytterligare information om föremålet. 16. Weight (g.) = Vikten (i gram) för föremålet/fragmentet (endast för Härnevi-depån). These hoards represent a type of Bronze Age hoards that are characterised by many fragments and incomplete metalwork objects. This study aims to document their composition in further detail, with special focus on the inclusion of fragments. As the focus of the study is on the metalwork objects, the few finds of other materials present in some of these hoards (stone, ceramics, organic materials) have not been included in the dataset. The five hoards were chosen for two main reasons. Firstly, because of their high fragmentation rates, and because they have all been discussed as ‘scrap hoards’ in previous research. Secondly, because the documentation available for these particular finds is of relatively high quality and detail. The finds are described either in the Swedish History Museum's inventory catalogue or in publications dedicated to some of the individual hoards (Oldeberg 1927, 1928, 1929, 1934). This is crucial, as this study relies on previous observations rather than primary empirical work with the exception of the Härnevi hoard, which was studied and recorded first-hand at the Swedish History Museum (SHM), Stockholm, by Anna Sörman in September 2022. Dessa depåfynd tillhör en typ av bronsåldersdepåer som kännetecknas av en hög andel fragment och ofullständiga metallföremål. Denna studie syftar till att dokumentera deras sammansättning i större detalj, med särskilt fokus på inkluderingen av fragment. Då fokus i studien ligger på metallföremålen har de fåtal fynd av andra material som finns i några av depåerna (sten, keramik, organiskt material) ej medtagits i datasamlingen. De fem depåfynden valdes av två huvudsakliga skäl. För det första på grund av deras höga fragmenteringsgrad och för att samtliga diskuterats som "skrotdepåer" inom tidigare forskning. För det andra för att det finns relativt högkvalitativ och detaljerad dokumentation tillgänglig för dessa fynd, antingen i Statens Historiska Museums museikatalog eller i publikationer som behandlat individuella depåer (Oldeberg 1927, 1928, 1929, 1934). Studien bygger på tidigare observationer snarare än på nya primärstudier av källmaterialet. Undantaget är Härnevi-depån, vilken studerats och dokumenterats vid Statens Historiska Museum (SHM) i Stockholm av Anna Sörman i september 2022.

Abstract copyright UK Data Service and data collection copyright owner.The Participation Survey is a continuous push-to-web survey of adults aged 16 and over in England. It serves as a successor to the Taking Part survey, which ran for 16 years as a continuous face to face survey. Paper surveys are available for those not digitally engaged. Fieldwork started in October 2021 and it is envisaged that the survey will be a key evidence source for Department for Digital, Culture, Media and Sport (DCMS) and its sectors by providing statistically representative national estimates of adult engagement with the DCMS sectors. The survey’s main objectives are to: Provide a central, reliable evidence source that can be used to analyse cultural, digital, and sporting engagement, providing a clear picture of why people do or do not engage. Provide data at a county level to meet user needs, including providing evidence for the levelling up agenda. Underpin further research on driving engagement and the value and benefits of engagement.Further information on the survey can be found on the gov.uk Participation Survey webpage. Three versions of the Participation Survey 2022-2023 are available:An open access version (SN 9126). This version is freely available to download and does not require UK Data Service registration. This safeguarded dataset (SN 9125), which includes some additional detail. It is only available to registered UKDS users who have agreed to abide by the conditions of the End User Licence. A Secure Access version containing all years (SN 9014), which contains further detailed information. Access to this version is very restricted and requires UKDS registration, completion of an extensive application form, approval from the depositor, and successful completion of a Safe Researcher Training course before access can be granted. Users are advised to first download the safeguarded version (SN 9125) to check whether it includes sufficient detail for their research, before considering making an application for the Secure Access version.Details of all variables available for the version concerned can be found in the UKDS Data Dictionary - see the Documentation section. Main Topics:The Participation Survey collects data on engagement in: the arts libraries heritage museums and galleries tourism major cultural events major sporting events sport gambling digital sectors The survey includes information on frequency of participation, reasons for participating, barriers to participation and attitudes to the sectors. Information is also gathered on demographics (e.g. age, education), and related areas including wellbeing, loneliness, and use of digital technology. Multi-stage stratified random sample Self-administered questionnaire: Web-based (CAWI) Self-administered questionnaire: Paper

Out of Place serves as a record for the last three years of my practice, tracing the ideas that informed my work, braiding together the strands of conflicting ideas and research on the Salton Sea, plastic waste, dust, and how we are tethered to invisible labor and wastescapes. This paper is a patchwork, a quilt of my weavings with personal narratives, drawing upon Discard studies, Asian American studies, Indigenous studies, autotheory, and artists across disciplines to resituate my Asian American identity. This paper follows the trail of waste and debris, re-routed and re-formed, expressing the entanglement of our lives with non-human beings and the environment.

Abstract copyright UK Data Service and data collection copyright owner.The Annual Population Survey (APS) is a major survey series, which aims to provide data that can produce reliable estimates at the local authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the Labour Force Survey (LFS), all its associated LFS boosts and the APS boost. The APS aims to provide enhanced annual data for England, covering a target sample of at least 510 economically active persons for each Unitary Authority (UA)/Local Authority District (LAD) and at least 450 in each Greater London Borough. In combination with local LFS boost samples, the survey provides estimates for a range of indicators down to Local Education Authority (LEA) level across the United Kingdom.For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.Occupation data for 2021 and 2022The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. The affected datasets have now been updated. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022APS Well-Being DatasetsFrom 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the Integrated Household Survey. In 2015 these were discontinued. A separate set of well-being variables and a corresponding weighting variable have been added to the April-March APS person datasets from A11M12 onwards. Further information on the transition can be found in the Personal well-being in the UK: 2015 to 2016 article on the ONS website.APS disability variablesOver time, there have been some updates to disability variables in the APS. An article explaining the quality assurance investigations on these variables that have been conducted so far is available on the ONS Methodology webpage. End User Licence and Secure Access APS dataUsers should note that there are two versions of each APS dataset. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes Government Office Region geography, banded age, 3-digit SOC and industry sector for main, second and last job. The Secure Access version contains more detailed variables relating to: age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family nationality and country of origin geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district health: including main health problem, and current and past health problems education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from system variables: including week number when interview took place and number of households at address The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements. Main Topics:Topics covered include: household composition and relationships, housing tenure, nationality, ethnicity and residential history, employment and training (including government schemes), workplace and location, job hunting, educational background and qualifications. Many of the variables included in the survey are the same as those in the LFS. Multi-stage stratified random sample Face-to-face interview Telephone interview

During the American Progressive Era, discourses of progress were co-constructed with racialized ideas about habitation. Communal, matriarchal, semi-nomadic, and self-built dwellings and their racialized inhabitants were positioned as antagonists to a single-family, heteropatriarchal, Anglo-American ideal. As associated with the Arts and Crafts Movement, the Craftsman, Spanish Colonial and Mission Revival style bungalows that defined Los Angeles’ suburbs presented an illusion of self-made, simple living in connection with nature and frontier ideologies. Though purportedly democratic, the development of the suburbs involved the conversion of Indigenous lands into private property. Meanwhile, Indigenous peoples, Black migrants and ethnic Mexicans were funneled into worker housing while employed in the construction and maintenance of a domestic sphere that secured social and financial capital for beneficiaries of Whiteness. The dissertation focuses on three sites where this occurred that have since been erased in the physical landscape, as much as in the public imaginary: 1) The Pacific Electric Railway Company’s labor camps, home to Mexican workers who built and maintained Henry Huntington’s exclusive Pasadena suburbs and resorts; 2) The homes built and maintained by students of the Sherman Institute, an Indian Boarding School in Riverside, California for the vocational training of Indigenous youth; 3) The bungalows of the industrial suburbs marketed to Black and unskilled employees of the Los Angeles Investment Company, a home-building enterprise that went on to build racially restricted, residential subdivisions in southwestern Los Angeles. In each case, laborers were racially targeted and housed in overcrowded, unsanitary, and flimsily built structures that materially foretold their demise and future redevelopment. This research challenges conceptions of the “slums” familiarized by neighborhood surveys, by exposing how their production was instrumental to the construction and maintenance of the suburbs. The chapters of this dissertation devote themselves to the designed details of these hidden histories, as emerging from three distinct labor camp, domestic service, and industrial suburbs. Though historically unique in their racial, material, geographic, and social composition, when considered together, the three sites demonstrate a commitment to settling labor and race through the uneven development of the domestic sphere.

This collection of photographs was compiled as part of the MaltaPot project at the University of Malta. This project aims to enhance the understanding of pottery technology and provenancein Neolithic Malta, mainly dating to the Għar Dalam, Skorba (Early Neolithic), and Zebbuġ (Late Neolithic) phases. This collection presents sherds from the Għar Dalam phase, photographs, and microphotographs and lists their archaeological contexts and form. This collection was prepared thanks to the information from the National Museum of Archaeology (NMA), Malta, and the FRAGSUS project. The project used multiple techniques to characterise the pottery sherds, such as microscopy, polarised light microscope, X-Ray Fluorescence or X-Ray Diffraction. This collection presents the sherds which were not analysed using these destructive techniques, although they had a section ground flat for microphotography. Data collection was carried out between 2018-2020 by Dr Brogan. The document was compiled by 2023 Ms Richard-Trémeau. Photographs can be used if credited. This upload contains a PDF document and two zip files with the macroscopic photograph (Exterior surface) and the microphotographs.