Management environnemental et PME : apports et limites d’une démarche collective
Bibliographic record
Abstract
L’objet de cet article est d’amorcer une réflexion sur les freins et les moteurs agissant sur la diffusion d’une démarche de management environnemental en PME. Après avoir présenté l’engagement environnemental en PME comme un enjeu stratégique malgré l’existence de freins internes et externes indéniables, nous explicitons la voie de la démarche collective comme solution pertinente pour surmonter ces obstacles. Les moteurs d’une démarche environnementale collective relevés dans cette étude confirment les résultats d’études antérieures et incitent à approfondir d’autres voies comme la recherche d’opportunités stratégiques. L’analyse des freins est présentée selon les trois phases de la démarche : préparation, déroulement et suivi.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".