RSE et développement durable en management international : une analyse des publications de MI de 2009 à 2023
Bibliographic record
Abstract
Comment les articles publiés entre 2009 à 2023 dans la revue Mi abordent-ils les questions de responsabilité sociétale et de développement durable. Parmi les 829 articles publiés sur la période, 135 traitent de ces sujets. Tout d’abord, une analyse descriptive montre les méthodologies mobilisées, la dominante environnementale, sociale ou de gouvernance du sujet et les objectifs de développement durable abordés ainsi que les terrains étudiés. Puis, les articles ont été classés dans les sept thématiques couvertes par Mi pour comprendre l’orientation et l’évolution des publications sur la responsabilité. Enfin, une analyse thématique par la méthode LDA a été réalisée sur les résumés afin d’identifier dix clusters et mettre en avant les thématiques constitutives du sujet de la RSE et du développement durable.
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 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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.013 | 0.041 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".