Les gratiferias , des initiatives de réemploi et de consommation alternatives
Bibliographic record
Abstract
Cette étude a pour objet l’analyse de pratiques de réemploi et de partage en France et l’appréciation de la portée de certaines initiatives françaises s’inscrivant dans le sillage du mouvement des zones de gratuité temporaires. À partir de deux modèles de gratiferias : le Magasin pour rien à Saint-Amant-de-Bonnieure, en Charente, et Siga-Siga, la Boutique sans argent à Paris, nous nous interrogeons sur ces formes de « retour au partage et à la gratuité » pour en percevoir les ambiguïtés et les tensions. Non seulement les usages des publics qui fréquentent les lieux ne sont pas du même ordre, mais la force des représentations liées aux habitudes marchandes d’une part, aux pratiques du don d’autre part, viennent également impacter les aspirations et les attentes des promoteurs de ces initiatives.
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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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.016 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".