Tirer le meilleur parti de la contribution de l’économie sociale à l’économie circulaire
Bibliographic record
Abstract
Ce texte explore la contribution de l’économie sociale à la transition vers une économie circulaire comme moyen d’engager les citoyens, les entreprises et les territoires dans la circularité. En se basant sur une revue de la littérature, il définit à la fois le concept d’économie circulaire et celui d’économie sociale. Il décrit le potentiel de l’économie sociale pour soutenir les activités circulaires et les modèles d’entreprises apparentés, ainsi que pour mieux intégrer la circularité dans nos économies et nos sociétés. Enfin, il examine la façon de mieux capitaliser sur ce potentiel et d’identifier les orientations politiques qui s’appuient sur la complémentarité des économies sociale et circulaire pour soutenir la circularité et stimuler une transition verte et inclusive.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 teacher head, 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".