Les mythes de la déréglementation néolibérale
Bibliographic record
Abstract
Cet article se penche sur le consensus selon lequel la crise financière globale résulterait essentiellement, voir uniquement, d’une entreprise de dérégulation financière. Selon ces interprétations, le rôle traditionnellement joué par l’État dans la régulation de la finance se serait effrité en parallèle à la montée en puissance des institutions financières. Le corolaire de ces analyses est que le retour à une plus grande régulation serait l’avenue à privilégier afin d’amorcer une sortie de crise. L’analyse des auteurs visent à remettre en question autant la lecture dominante de la période dite de « dérégulation » que des causes de la crise. Enfin, elle défend que le diagnostic de la crise financière globale doit être établi sur de nouvelles bases qui permettent de mieux la contextualiser dans le cadre des contradictions de l’État américain contemporain.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.020 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".