Entreprises sociale et sociétalement responsable : le fossé est-il si grand ?
Bibliographic record
Abstract
L’importance des questions de RSE semble donner aux entreprises de l’économie sociale un avantage concurrentiel déterminant sur le marché. Pourtant, la plupart des firmes de l’économie classique se sont converties aux exigences du développement durable. Dès lors, qu’est-ce qui différencie les entités de l’économie sociale, des entreprises sociétalement responsables fondées sur le modèle capitaliste ? Les premières sont-elles réellement perçues comme étant plus responsables que les secondes ? A travers la théorie des droits de propriété, l’auteur tente d’éclairer ces deux questions. Il offre un regard original sur une problématique de la RSE et amène à dépasser les visions dogmatiques pour permettre aux entreprises, qu’elles soient de l’économie sociale ou conventionnelle, d’endosser pleinement leur responsabilité extra-économique.
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.029 |
| Scholarly communication | 0.009 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| 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".