Les communs numériques : une comparaison entre l’Assemblée des Communs de Lille et le SIILAB
Bibliographic record
Abstract
Afin d’approfondir la notion de communs numériques, l’article compare deux initiatives inscrites dans cette démarche au sein de la Région Hauts-de-France : l’Assemblée des Communs de Lille et le SIILAB. Le cadre d’analyse s’appuie sur les travaux d’Hess et Ostrom, de Coriat et de Dardot et Laval. Il examine les conditions sociotechniques d’usages et de gestion des communs numériques. L’analyse comparative met en exergue cinq dimensions structurantes d’une démarche de communs numériques (institutionnelle, communautaire, multi-échelle, appropriation, politique) qui formalisent une proposition de grille d’analyse de ces communs.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".