Para uma cosmopolítica dos comuns: entrevista com Christian Laval / Towards a cosmopolitics of the commons: an interview with Christian Laval
Bibliographic record
Abstract
Entrevista com o sociólogo francês Christian Laval, docente da Universidade Paris-Nanterre. Laval colabora frequentemente com jornais na França e no exterior, escrevendo sobre política e movimentos sociais. Autor de obras de referência em sociologia da educação, filosofia política, história da educação e teoria sociológica, nesta entrevista o autor discute alguns conceitos e abordagens centrais de suas pesquisas a partir de uma interpretação da conjuntura política e das transformações do capitalismo nas últimas três décadas. A entrevista foi concebida e organizada em inglês e em francês, entre abril e junho de 2019, pelo pesquisador brasileiro Felipe Ziotti Narita e pela pesquisadora grega Natalia-Rozalia Avlona. Tradução: Felipe Ziotti Narita.An interview with French sociologist Christian Laval. Laval is professor of sociology at the Paris Nanterre University (France) and often contributes to newspapers in France and elsewhere analyzing political issues and social movements. Among his works in the sociology of education, the books "L’École n’est pas une entreprise" (2004) and "La nouvelle école capitaliste" (2011) are important references. With Pierre Dardot, he is the author of "La nouvelle raison du monde" (2009), "Commun" (2014), and "Ce cauchemar qui n’en finit pas" (2016). The interview was organized and conducted in English and French by Felipe Ziotti Narita (São Paulo State University - Unesp) and Natalia-Rozalia Avlona (National Technical University of Athens / Hellenic Foundation for European and Foreign Policy). Translation: Felipe Ziotti Narita.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.036 | 0.030 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".