Editors' Introduction: Indignation, Socio-economic Inequality and the Role of Law
Bibliographic record
Abstract
This volume of the Oñati Socio-legal Series consists of revised versions of 15 of the 20 papers presented at a workshop hosted by the Oñati International Institute for the Sociology of Law (IISL) in May 2013. The workshop took its theme from Stéphane Hessel’s cri de coeur, Indignez-vous! and the protest movements it inspired, which we saw as protests against the social inequality that necessarily follows from economic inequality and other power imbalances. This message continues to resonate. In 2015, for example, Oxfam International’s research paper entitled “Wealth: Having it all and wanting more” concludes that by 2016, the world’s richest 1% will have more of the world’s wealth than all of the remaining 99% of people. And a Canadian observer decries the effect of this – which he labels “trickle-down meanness” – on the socio-political fabric of a country. Because of the breadth of the workshop theme and the diversity of its participants – which included a critical mass of doctrinal legal scholars in the mix – participants were asked to choose topics which 1) raised their indignation, 2) reflected economic inequality, 3) led to a violation of socio-economic rights, and 4) involved a possible role for the law (or public policy) either in causing the violation or in providing a solution to it (or both). The papers in this volume show that the participants responded enthusiastically to this request. Este número de la revista Oñati Socio-legal Series recoge las versiones revisadas de 15 de las 20 ponencias que se presentaron en el workshop celebrado en el Instituto Internacional de Sociología Jurídica de Oñati (IISJ), en mayo de 2013. El tema del workshop giró alrededor del lema de Stéphane Hessel, Indignez-vous! y los movimientos de protesta que inspiró, que percibimos como protestas contra la desigualdad social que resulta inevitablemente de la desigualdad económica y otros desequilibrios de poder. Este mensaje sigue resonando. En 2015, por ejemplo, una investigación de Oxfam Internacional titulada “Wealth: Having it all and wanting more” (Riqueza: Tenerlo todo y querer más), concluye que en 2016, el 1% de la población mundial poseerá más riqueza que el 99% restante. Y un observador canadiense condena sus consecuencias -que él denomina “goteo de mezquindad”- en el tejido socio-político de un país. Debido a la amplitud del tema del workshop y la diversidad de sus participantes -que incluía una masa crítica de expertos en doctrinas legales- se pidió a los participantes que eligieran temas que 1) les indignaran, 2) reflejasen desigualdad económica, 3), diesen lugar a una violación de los derechos socioeconómicos, y 4) que implicasen un posible papel del derecho (o políticas públicas) tanto por causar el daño u ofrecer una solución al problema (o ambos). Los artículos de este volumen demuestran que los participantes respondieron con entusiasmo a esta solicitud. DOWNLOAD THIS PAPER FROM SSRN: http://ssrn.com/abstract=2572253
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.026 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".