MétaCan
Menu
Back to cohort
Record W7133366146

Innover avec les communautés open source : le cas du logiciel Claroline

2018· article· fr· W7133366146 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueORBi UMONS · 2018
Typearticle
Languagefr
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsOpen sourcePublicsContext (archaeology)Event (particle physics)
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0050.006
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.003

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.

Opus teacher head0.050
GPT teacher head0.308
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it