Écologiser sans contester : le travail politique autour de deux éco-innovations dans l’aquaculture canadienne
Bibliographic record
Abstract
L’économie canadienne constitue un cas paradigmatique d’exploitation intensive des ressources naturelles. Depuis plusieurs décennies, ce modèle est contesté par de nouveaux acteurs environnementaux qui peinent à changer les logiques de production. En s’appuyant sur des approches renouvelées de l’écologisation issues de la sociologie politique, ce papier propose d’analyser un mode d’écologisation alternatif à la contestation : l’implémentation d’innovations écologiques (ou éco-innovations). L’étude de ce processus est opérationnalisée dans deux études de cas issues de l’aquaculture canadienne. L’analyse du travail de construction et de promotion de deux éco-innovations permet de montrer les trajectoires d’une écologisation discrète entre science et industrie.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".