This folder contains the documentation of the study Do we all mean the same thing? (Un)Conventional usage of symbols in the Arts submitted to the Digital Humanities Conference (2023). It is constituted by 1) one Jupyter Notebook ("UnConventionalUsageSymbolsArts.ipynb") containing the analysis conducted, and 2) the data used for the analysis, namely an RDF dataset of art interpretations ("PanofskyOnlySymbSubgraphFinal.ttl") and JSON files of symbols and symbolic meanings extracted from the Knowledge Base HyperReal.
An editorial note by one of us in this journal in 2020, argued in favour of the name Schrödinger–Lichnerowicz formula for the formula, gμν∇μ∇ν+m2+R/4, for the ‘square’ of the Dirac operator in curved spacetime since it had been obtained by Schrödinger in 1932 and rediscovered by Lichnerowicz in 1962. However, unfortunately, it overlooked the rediscovery of the formula by Asher Peres in 1963. We briefly recall the context of each of these discoveries and reflect on the naming of mathematical formulae in general and of this formula in particular.
El hecho de que los episodios de disturbios y conflictos sociales, tensiones políticas e incertidumbre sobre las políticas económicas afectan a la evolución de la economía es comúnmente aceptado en Economía. Sin embargo, la dimensión en tiempo real de tales interacciones no ha sido tan estudiada, y en concreto no está claro cómo se incorporarían dichas tensiones en los modelos de predicción al uso. Esto puede explicarse en parte por la división entre las contribuciones de la ciencia económica y la ciencia política en esta área, así como por la tradicional falta de disponibilidad de indicadores de alta frecuencia que midan tales fenómenos. Sin embargo, esta restricción se está volviendo cada vez menos limitante, gracias a la construcción de indicadores basados en análisis textuales. En este trabajo reunimos un conjunto de datos de medidas de lo que llamamos «inestabilidad institucional» para tres economías emergentes representativas: Brasil, Colombia y México. Dichos indicadores se introducen en un modelo estándar de predicciones (MIDAS) para el PIB trimestral. Los resultados muestran que la introducción de los indicadores que captan la inestabilidad institucional mejora el pronóstico del PIB trimestral respecto al uso de un conjunto amplio de indicadores estándar macroeconómicos y financieros de alta frecuencia. It is widely accepted that episodes of social unrest, conflict, political tensions and policy uncertainty affect the economy. Nevertheless, the real-time dimension of such relationships is less studied, and it remains unclear how to incorporate them in a forecasting framework. This can be partly explained by a certain divide between the economic and political science contributions in this area, as well as by the traditional lack of availability of high-frequency indicators measuring such phenomena. The latter constraint, though, is becoming less of a limiting factor through the production of text-based indicators. In this paper we assemble a dataset of such monthly measures of what we call “institutional instability”, for three representative emerging market economies: Brazil, Colombia and Mexico. We then forecast quarterly GDP by adding these new variables to a standard macro-forecasting model in a mixed-frequency MIDAS framework. Our results strongly suggest that capturing institutional instability based on a broad set of standard high-frequency indicators is useful when forecasting quarterly GDP. We also analyse the relative strengths and weaknesses of the approach.
This research utilizes a twofold approach: the general framework of archaeogaming; and the theoretical position of affective history. Using the video game Assassin’s Creed Odyssey as a case study, this research paper provides a critique of the current literature as it relates to the topics of archaeogaming and affective history. Documented archaeological findings of Olympia are examined in known literature, as well as in the designed environment of the video game. The study provides further understanding of how archaeogaming is defined as the “archaeology both in and of digital games” (Reinhard 2) and how the application of affective history theory, the study of the past with emotional and human experience through re-enactment, holds the potential to open new avenues of study in classical archaeology. This research demonstrates how video games and classical archaeology merge together, providing an alternative form of study that can be applied to classical studies.
The Iberian Copper Age is a period dominated by the emergence of early complex societies. In sharp contrast with the preceding Neolithic, the Chalcolithic is characterized by agricultural intensification, population aggregation, political centralization and the appearance of ‘mega-villages’ on the landscape. Previous research has focused on the phenomenon of collective burial to suggest that these broad-scale social processes are underwritten by a ‘communally-organized society’. However the internal organization of such communities is still poorly understood, particularly because the taphonomy and social function of such collective burials are underexplored. At 113 ha in size, Marroquíes Bajos is one of the largest settlements known for the time period, and contains evidence of four different burial programs. This project’s bioarchaeological analysis of the mortuary variability at the site will allow for the investigation of whether Iberian Copper Age societies were collectively organized, or whether significant disparities in health, diet or material culture existed among the social units being represented in these burials Through osteological analysis, isotopic analysis of diet, AMS radiocarbon dating, and an archaeological analysis of tomb form and grave goods, my investigation at Marroquíes Bajos will allow for a more nuanced reconstruction of the ways in which Copper Age societies were organized, while deepening our understanding of how and why collective burials were used by prehistoric populations.
Compte rendu de l’ouvrage d’Aro Velmet, Pasteur’s Empire : Bacteriology and Politics in France, its Colonies, and the World, New York, Oxford University Press, 2020.; Review of Aro Velmet, Pasteur’s Empire : Bacteriology and Politics in France, its Colonies, and the World, New York, Oxford University Press, 2020.; Compte rendu de l’ouvrage d’Aro Velmet, Pasteur’s Empire : Bacteriology and Politics in France, its Colonies, and the World, New York, Oxford University Press, 2020.
Publisher: Institute of Economic Research, Kyoto University
The efficient market hypothesis (EMH) plays a fundamental role in modern financial theory. Previous empirical studies have tested the weak and semi-strong forms of EMH with typical financial data, such as historical stock prices and annual earnings. However, few tests have been extended to include alternative data such as tweets. In this study, we use 1) two stock tweet datasets that have different features and 2) nine natural language processing (NLP)-based deep learning models to test the semi-strong form EMH in the United States stock market. None of our experimental results show that stock tweets with NLP-based models can prominently improve the daily stock price prediction accuracy compared with random guesses. Our experiment provides evidence that the semi-strong form of EMH holds in the United States stock market on a daily basis when considering stock tweet information with the NLP-based models.