Agir mais ne rien changer ? De l’utilisation des expériences pilotes en gestion de l’environnement
Bibliographic record
Abstract
L’une des approches les plus répandues de l’action environnementale consiste à concevoir et à mettre en œuvre des expériences pilotes destinées à tester de nouvelles pratiques, de nouveaux modes d’organisation. Ces innovations techniques ou sociopolitiques ont ensuite vocation à « faire tache d’huile ». Pourtant, la façon dont cette juxtaposition d’expériences est censée accoucher d’une transformation globale de nos modes de développement et de leur « contenu » environnemental demeure assez mystérieuse, voire largement mythifiée. Analysant l’approche pilote de l’action en tant que stratégie de changement, cet article se propose d’apporter un éclairage concis sur les enjeux fondamentaux du mécanisme de réplication qui en est l’hypothèse sous-jacente.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".