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Record W3015379277 · doi:10.55765/atps.i4.228

L’animation culturelle au Québec : Une praxéologie en attente d’envol

2013· article· fr· W3015379277 on OpenAlexaffabout
Martin Lussier, Janick Bastien-Charlebois

Bibliographic record

VenueRevue internationale animation territoires et pratiques socioculturelles · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

La reconnaissance de l’animation culturelle au Québec est intimement liée à celle de ses programmes de formation, notamment le baccalauréat en animation et recherche culturelles de l’UQAM qui en représente l’un des lieux de formation les plus importants. Traversant quelques périodes de fragilité au cours de son histoire, ce programme connait actuellement une grande popularité en termes d’inscriptions étudiantes. Entre 2006 et 2008, une maitrise en animation culturelle est projetée dans le sillon des succès du baccalauréat, mais le développement en est bloqué à la suite de réticences soulevées lors de rencontres de groupe menées auprès d’étudiants, de diplômés et d’employeurs. Comment comprendre ce non-aboutissement? En quoi ceci participe-t-il de la reconnaissance de l’animation au Québec? Cet article repose sur une analyse sommaire des propos tenus par les participants aux rencontres menées dans le cadre de la préparation du projet de maitrise et des enjeux dont ils témoignent.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.480

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 studies0.0180.010
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.113
GPT teacher head0.404
Teacher spread0.291 · 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 routes2
Has abstractyes

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