Vers une nouvelle génération de politiques industrielles vertes : défis et perspectives
Bibliographic record
Abstract
La politique industrielle verte s’est récemment imposée comme une stratégie centrale dans la lutte contre les changements climatiques. Ce type de politique climatique n’est pas entièrement nouveau. Il a été implicitement appliqué par le passé pour développer des technologies vertes. Mais aujourd’hui, les gouvernements ont recours à cette stratégie de façon plus explicite pour atteindre des objectifs à la fois économiques, environnementaux et géopolitiques. L’objectif de ce court article est de vulgariser certains enjeux relatifs à l’émergence de cette nouvelle génération de politiques industrielles vertes. Il présente la nouvelle raison d’être de ce type de politique climatique, explore certains des défis rencontrés par des expérience passées et esquisse quelques lignes directrices pour guider l’élaboration d’une politique industrielle verte robuste.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".