Institution
School for Advanced Studies in the Social Sciences
Facility•Villejuif, France•
About: School for Advanced Studies in the Social Sciences is a facility organization based out in Villejuif, France. It is known for research contribution in the topics: Population & Politics. The organization has 1230 authors who have published 2084 publications receiving 57740 citations. The organization is also known as: Ecole des Hautes Etudes en Sciences Sociales & EHESS.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors analyze the limitations of industrial policies from the late 2000s in Japan and Korea and their limitations in a context of liberalized financial systems, to which government entities in charge of industrial policy have contributed, and identify some significant differences in the initial institutional arrangements and in the process of institutional change.
36 citations
TL;DR: In this paper, the authors study a number of mechanisms through which the economy can be stuck at a high unemployment equilibrium because a poor labour market is associated with support for a poor policy.
36 citations
TL;DR: In this paper, the authors compared savings behavior in a sample of 17 OECD countries over 24 years on the basis of an analysis of variance and of a life-cycle-hypothesis-based equation.
Abstract: This article compares savings behavior in a sample of 17 OECD countries over 24 years On the basis of an analysis of variance and of a life-cycle-hypothesis-based equation, we test the homogeneity of households' savings behavior It appears that one cannot really speak of a homogeneous saving behavior across countries This is a relevant finding in times of increasing economic and financial integration
36 citations
TL;DR: It is argued that the role of the striatum in sentence processing specifically pertains to the application of syntactic movement rules whereas it is not involved in canonical rules required for active structures or in lexical processing aspects.
36 citations
Proceedings Article•
01 May 2020TL;DR: The first French corpus annotated for sexism detection composed of about 12,000 tweets is presented and some preliminary results for sexist detection obtained with a deep learning approach are proposed.
Abstract: Social media networks have become a space where users are free to relate their opinions and sentiments which may lead to a large spreading of hatred or abusive messages which have to be moderated. This paper presents the first French corpus annotated for sexism detection composed of about 12,000 tweets. In a context of offensive content mediation on social media now regulated by European laws, we think that it is important to be able to detect automatically not only sexist content but also to identify if a message with a sexist content is really sexist (i.e. addressed to a woman or describing a woman or women in general) or is a story of sexism experienced by a woman. This point is the novelty of our annotation scheme. We also propose some preliminary results for sexism detection obtained with a deep learning approach. Our experiments show encouraging results.
36 citations
Authors
Showing all 1316 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Philippe Aghion | 122 | 507 | 73438 |
| Andrew J. Martin | 84 | 819 | 36203 |
| Jean-Jacques Laffont | 83 | 332 | 32930 |
| Jonathan Grainger | 78 | 329 | 19719 |
| Jacques Mehler | 78 | 188 | 23493 |
| James S. Wright | 77 | 514 | 23684 |
| Thomas Piketty | 69 | 251 | 36227 |
| Dan Sperber | 67 | 207 | 32068 |
| Arthur M. Jacobs | 67 | 260 | 14636 |
| Jacques Mairesse | 66 | 310 | 20539 |
| Andrew E. Clark | 65 | 318 | 28819 |
| François Bourguignon | 63 | 287 | 18250 |
| Emmanuel Dupoux | 63 | 267 | 14315 |
| Marc Barthelemy | 61 | 215 | 25783 |
| Pierre-André Chiappori | 61 | 230 | 18206 |