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Record W4411550418 · doi:10.29173/cjnser746

Aires ouvertes en économie sociale au Québec : analyse interdisciplinaire dans trois organisations

2025· article· fr· W4411550418 on OpenAlexaffvenueabout
Tawfiq Alla, Stéphane F. Roume, Diane‐Gabrielle Tremblay

Bibliographic record

VenueCanadian journal of nonprofit and social economy research · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsSociologyEconomicsPolitical science

Abstract

fetched live from OpenAlex

Les entreprises d’économie sociale sont généralement considérées comme des organisations caractérisées par une gestion horizontale, visant des objectifs sociaux et non la maximisation du profit. Après des entrevues semi-dirigées (n = 25) menées auprès de trois organisations d’économie sociale à Montréal, notre article traite des avantages et inconvénients du choix d’une aire ouverte, compensant la perte d’espace par une organisation hybride du travail ainsi que le partage de locaux entre différentes organisations. Nous avons observé les adaptations dans l’articulation entre le retour progressif au sein de l’aire ouverte et le télétravail à domicile. Il en ressort que cet arrangement permet d’économiser des fonds, et convient aux salariés, à condition de préserver une certaine flexibilité dans leur temps de travail, tout en permettant davantage d’échanges et de réseautage. Les personnes travaillant dans ce contexte au sein des organisations d’économie sociale semblent l’apprécier davantage que celles des autres organisations étudiées (dans les secteurs public et privé), et elles s’y présentent plus volontairement.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.948
Threshold uncertainty score0.379

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0090.004
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.048
GPT teacher head0.360
Teacher spread0.312 · 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 designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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Same venueCanadian journal of nonprofit and social economy researchSame topicSocial Sciences and GovernanceFrench-language works237,207