Doit-on s’attendre à un refus du déploiement de l’hydrogène ? Dynamique territoriale et transition énergétique
Bibliographic record
Abstract
La transition énergétique est vectrice d’enjeux non seulement environnementaux, mais aussi et surtout politiques, sociaux et économiques. Dans ce contexte, il est nécessaire de ne pas limiter la compréhension de la déployabilité d’une technologie uniquement aux regards de ce qu’elle peut offrir sur un plan techno-scientifique. Le vecteur énergétique hydrogène offre justement une formidable opportunité de comprendre l’impact des tensions et enjeux extérieurs à la dimension techno-scientifique. Cela parce qu’il demeure à la fois bien connu du plus grand nombre, mais sans que ceux-ci ne sachent réellement ce que son déploiement ne signifie vraiment ; qu’il s’agisse des infrastructures ou des pratiques nécessaires à son fonctionnement. Analyser les perceptions d’une technologie industrielle avant qu’elle ne soit déployée permet alors de démontrer les limites de la perception de l’acceptabilité sociale comme résultant uniquement de ladite technologie.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".