Quelles perspectives pour des chaînes d’approvisionnement soutenables ? L’exemple de la proposition de Directive européenne sur le devoir de vigilance des entreprises en matière de durabilité et modifiant la Directive (UE) 2019/1937
Bibliographic record
Abstract
Actuellement, de nouvelles perspectives pour des chaînes d’approvisionnement soutenables se dessinent au sein de l’Union européenne. Le 23 février 2022, la Commission européenne publiait une proposition de directive sur le devoir de vigilance des entreprises en matière de durabilité. Cette Proposition se situe dans la droite ligne de la loi française relative au devoir de vigilance des sociétés mères et des entreprises donneuses d’ordre adoptée en 2017. Mais elle comporte également quelques innovations notables par rapport à la loi française. Cette dernière prévoit un mécanisme à double détente, envisageant successivement prévention des risques et sanction des atteintes. Ici, des mesures d’aide et d’accompagnement des entreprises complètent des prévisions enrichies relatives à la prévention et la sanction, au sein d’un mécanisme à triple détente.
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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 | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.026 | 0.018 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.011 | 0.011 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".