Ancien et nouvel institutionnalisme dans l’étude de la politique contestataire
Bibliographic record
Abstract
Cet article s’intéresse à l’institutionnalisme dans l’étude de la politique contestataire. Nous faisons une distinction entre un ancien institutionnalisme qui met l’accent avant tout sur le rôle des institutions politiques et des opportunités institutionnelles (accès au système politique, configuration du pouvoir, stratégies des autorités, etc.), d’un côté, et un nouvel institutionnalisme qui se propose de réintroduire la notion de culture ainsi que les aspects discursifs des opportunités politiques, de l’autre. Le néo-institutionnalisme permet ainsi de combiner les facteurs politico-institutionnels et culturels dans l’étude de la politique contestataire. Un bref exemple portant sur la mobilisation politique des migrants illustre les avantages heuristiques de cette approche et de son corollaire méthodologique, soit l’analyse des revendications politiques dans l’espace public.
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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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.041 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".