Ambiguïté entre technologies propres et meilleures techniques disponibles
Bibliographic record
Abstract
En parallèle à l’objectif global de production plus propre diffusé par le PNUE, deux approches concernant les procédés coexistent, celles des technologies propres, d’une part, et celle des Meilleures Techniques Disponibles (MTD) d’autre part. L’étude de ces deux approches, notamment au travers de leur utilisation au niveau réglementaire et au sein des approches volontaires, fait ressortir une certaine ambiguïté. En effet, bien qu’étant inscrites dans un objectif commun de prévention, elles présentent une certaine disparité que nous faisons ici ressortir notamment dans un objectif de clarification. Cet article initie une réflexion vis-à-vis des approches environnementales touchant aux procédés de production.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".