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Record W7128688806 · doi:10.7202/1123301ar

Le rôle des conseils d’administration dans la production de recherche universitaire au Canada : une étude exploratoire

2025· article· en· W7128688806 on OpenAlexaffvenueabout
Émile Salomon Zambo Assembe, Hibat Allah Morsi, Olivier Bégin-Caouette

Bibliographic record

VenueCanadian Journal of Educational Administration and Policy · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsContext (archaeology)Production system (computer science)Social impactKnowledge production

Abstract

fetched live from OpenAlex

Les systèmes d’enseignement supérieur sont au coeur des sociétés du savoir et de la production scientifique. Dans la plupart des pays, les grandes universités de recherche comptent pour une partie importante du financement de recherche et des publications. Si plusieurs études ont examiné la gouvernance de ces établissements, peu d’écrits se sont penchés sur le rôle des conseils d’administration dans ces établissements. L’objectif de cet article est donc d’explorer le rôle des conseils d’administration dans le soutien à la mission de recherche des grandes universités de recherche au Canada. L’étude qualitative exploratoire s’appuie sur des entretiens semi-structurés avec les membres du conseil d’administration de sept universités dans cinq provinces. La thématisation en continu suggère que les conseils d’administration contribuent à un environnement organisationnel favorable à la recherche, placent la recherche au coeur des enjeux stratégiques de l’université, assurent le contrôle de la gestion financière de l’établissement et, dans le cas des membres externes, lient la communauté universitaire à la société.

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)0.013
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.987
Threshold uncertainty score0.938

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.019
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.009
Science and technology studies0.0230.012
Scholarly communication0.0170.004
Open science0.0020.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.045
GPT teacher head0.354
Teacher spread0.309 · 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.

Study designQualitative
DomainEvaluation
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

Citations0
Published2025
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Educational Administration and PolicySame topicHigher Education Governance and DevelopmentFrench-language works237,207