Déterminants de la mise en place de pratiques durables par les PME
Bibliographic record
Abstract
En raison de l’importance des impacts économiques, sociaux et environnementaux des Petites et Moyennes Entreprises (PME), leur contribution est essentielle au Développement Durable (DD). L’état actuel de la recherche ne donne toutefois qu’une vue fragmentée des facteurs conduisant les PME à mettre en place des pratiques durables. C’est dans cette perspective que notre étude examine différents facteurs institutionnels, organisationnels et individuels pouvant être associés à la mise en place de pratiques durables dans les PME. Notre enquête réalisée auprès 124 PME canadiennes manufacturières, nous a permis, d’une part, de dresser un portrait des pratiques durables mises en place par celles-ci, et, d’autre part, d’identifier que les variables individuelles jouent un rôle clé dans la mise en place de pratiques durables. Ces résultats ajoutent aux connaissances entourant les éléments clés de l’accompagnement des PME dans des démarches de développement durable.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".