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Record W7146956252 · doi:10.7202/1123947ar

Retombées macrosystémiques d’ateliers artistiques en organisme communautaire

2025· article· fr· W7146956252 on OpenAlexaffvenue
Camille Gauthier-Boudreault, Véronique Rochon, Élodie Hérault, Sarah Rahimaly, Miranda D’Amico, Mélanie M. Couture

Bibliographic record

VenueRevue francophone de la déficience intellectuelle · 2025
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsConcordia UniversityUniversité de SherbrookeCentre Hospitalier Universitaire de SherbrookeUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsPublic spaceContext (archaeology)Christian ministry

Abstract

fetched live from OpenAlex

Les activités artistiques représentent une modalité innovante pour proposer des activités variées et stimulantes en organisme communautaire offrant des activités de jour aux adultes présentant une déficience intellectuelle. Un organisme communautaire a mis en place des ateliers de danse, de musique et de théâtre en vue de la création d’un spectacle. Des entrevues individuelles et un groupe de discussion auprès des acteurs impliqués dans la réalisation des ateliers artistiques ont été effectués afin de documenter les retombées macrosystémiques de ce projet et les facteurs l’ayant influencé. Il en ressort des retombées positives autant pour les personnes intervenantes, l’organisme et la communauté. Parmi les facteurs favorisant la mise en place de ces activités, les ressources humaines et financières sont les plus importantes à considérer.

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)0.006
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0030.005
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.010
GPT teacher head0.334
Teacher spread0.324 · 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 designObservational
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
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueRevue francophone de la déficience intellectuelleSame topicAging, Elder Care, and Social IssuesFrench-language works237,207