MétaCan
Menu
Back to cohort
Record W3213767910

El discurso sindical ante la nueva gestión pública en el sistema educativo de Quebec

2013· article· es· W3213767910 on OpenAlexaboutno aff
Christian Maroy, Samuel Vaillancourt

Bibliographic record

VenueEducation et societes · 2013
Typearticle
Languagees
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Cet article porte sur la nature du discours des syndicats d’enseignants face a la nouvelle gestion publique (NGP) dans le systeme educatif quebecois. Il situe le discours syndical de maniere transversale en analysant comment il integre et faconne differents lieux communs (categories cognitives, theories causales, topiques privilegiees) partages par la plupart des parties prenantes s’exprimant sur la NGP en education dans les medias ou la scene politique institutionnelle. Il propose une analyse de contenu des discours de ces acteurs syndicaux en tant qu’action dans le processus de concertation politique lie a la NGP en education et etudie leurs interventions en commission parlementaire. L’article montre que leur action dans ce forum a, au-dela des oppositions visibles, conforte la trajectoire neo-statiste imprimee a la NGP de l’education au Quebec. L’analyse du discours revele que les acteurs syndicaux se sont largement distancies des acteurs gouvernementaux et des principales autorites educatives face a la gestion axee sur les resultats. De facon paradoxale, le discours syndical et la dialectique des recits d’action publique lors des audiences parlementaires ont contribue a renforcer la voie neo-statiste du nouveau management public quebecois, contre une voie plus neoliberale.

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)0.007
metaresearch head score (Gemma)0.019
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 score0.135
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0140.011
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.000

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 head0.023
GPT teacher head0.405
Teacher spread0.382 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueEducation et societesSame topicEducation and Teacher TrainingFrench-language works237,207