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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".