Gouvernance des projets open source : le cas du logiciel Claroline
Bibliographic record
Abstract
Claroline est un projet de Learning Management System open source initié en Belgique par l'Université Catholique de Louvain. Plusieurs projets open source en sont, directement ou indirectement, dérivés (Dokeos, Chamilo, Claroline Connect). Compte tenu de sa diffusion, des opportunités de réalisation d'une étude longitudinale complète, de l'évolution de sa gouvernance, de ses forks et de sa résilience, Claroline présente un terrain de recherche idéal pour comprendre les dynamiques communautaires dans les communautés open source ainsi que les modalités de cohabitation avec des éditeurs publics ou privés. Dans cet article, nous proposons les résultats préliminaires d'une étude de cas basée sur des entretiens semi-directifs portant sur les modalités de gouvernance et de changement de modèle d'affaires au sein d'un écosystème open source. Nous montrons en particulier comment les choix successifs de gouvernance peuvent conduire à des mouvements de reconfiguration des communautés.
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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 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".