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Record W3150145539 · doi:10.3917/lsdle.532.0111

Réussite scolaire et communauté éducative au Québec : enjeux du partenariat pour la réussite éducative

2021· article· fr· W3150145539 on OpenAlexaffabout
Frédérik Gagnon, Denis Bourque, Élodie Marion

Bibliographic record

VenueLes Sciences de l éducation - Pour l Ère nouvelle · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité de MontréalUniversité du Québec en Outaouais
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Au Québec, les politiques publiques en éducation ciblent la mobilisation et la concertation des différents acteurs et partenaires des milieux éducatifs d’un même territoire géographique autour du thème de la réussite éducative. La présente étude s’intéresse ainsi aux formes de collaboration d’un groupe d’acteurs locaux provenant de divers champs d’intervention, ayant pour objet de structurer une action intersectorielle concertée autour de la réussite éducative. Elle montre que l’action structurée par la communauté éducative se retrouve paramétrée par différentes représentations de la réussite éducative. Également, bien que la collaboration dans la communauté éducative pour agir sur la réussite scolaire engage une diversité d’acteurs dans des relations multiples et complexes, elle ne parvient pas à rejoindre les acteurs de l’établissement scolaire. Un soutien et un accompagnement semblent ainsi nécessaires pour produire des changements et déplacer les normes existantes.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.424

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.009
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.000

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 head0.119
GPT teacher head0.387
Teacher spread0.268 · 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
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
Published2021
Admission routes2
Has abstractyes

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