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Record W4406785058 · doi:10.52983/jaqh5207

Encyclopédie des communautés et pratiques communautaires. Extraits choisis, édition 2025

2025· book· fr· W4406785058 on OpenAlexaff
Marie-Sophie de Clippele, Jean-François Joye, Flora Vern, Nicolas Jullien, Karine Roudaut, Luciana Castro Gonçalves, Liliana Mitkova

Bibliographic record

Venuenot available
Typebook
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsMcGill UniversityUniversité de SherbrookeUniversité du Québec à Montréal
FundersUniversity of Rochester
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

L’Encyclopédie des communautés et pratiques communautaires propose un corpus inédit de connaissances sur les sources, formes et modes d’organisations collaboratives et collectives d’hier, d’aujourd’hui et de demain. Rassemblant des spécialistes internationaux de diverses disciplines, dont le droit, la sociologie, l’économie ou les sciences de la gestion, cet ouvrage de référence constitue une ressource précieuse pour comprendre et analyser les fondements et fonctionnements des communautés qui imaginent de nouvelles façons de vivre ensemble. Ainsi les communautés dont il est question ici sont celles qui s’articulent autour de trois axes : la défense d’un intérêt communautaire, comme la protection d’un espace naturel ; le partage d’un bien privatif ou commun, comme les habitats participatifs ; ou encore la production des connaissances, telle l’encyclopédie Wikipédia. Publiée en libre accès, cette encyclopédie évolutive, dont sont présentés ici les premiers extraits, a vocation à s’enrichir continuellement sous la supervision d’un comité scientifique international et pluridisciplinaire, afin d’offrir une vision plurielle et engagée des communautés et pratiques communautaires.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.256
Threshold uncertainty score0.857

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.014
Science and technology studies0.0020.001
Scholarly communication0.0110.009
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2560.176

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 head0.361
Teacher spread0.311 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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