Engagement citoyen et action entrepreneuriale sont-ils conciliables ? Le cas des systèmes alimentaires alternatifs
Bibliographic record
Abstract
Le concept d’entreprise sociale est très présent dans la littérature pour rendre compte d’initiatives entrepreneuriales qui associent logique d’action sociale et logique d’action marchande. Les liens entre ces nouvelles façons d’entreprendre et l’engagement citoyen ont en revanche été peu explorés. Nous proposons une analyse des liens entre engagement citoyen et action entrepreneuriale, à travers l’analyse de plusieurs initiatives issues de systèmes alimentaires alternatifs. Nous développons un cadre d’analyse original transposant la théorie pragmatiste de l’action de John Dewey : l’engagement entrepreneurial et citoyen est appréhendé comme un processus d’enquête démocratique original, associant registre d’engagement, logique et répertoires d’action entrepreneuriale.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".