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Record W7128716745 · doi:10.18162/fp.2025.a352

Autisme, déficience intellectuelle : une formation-accompagnement en médiation artistique

2025· article· fr· W7128716745 on OpenAlexaffvenue
Jean Horvais, Suzanne Beaulieu

Bibliographic record

VenueFormation et profession · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicContemporary art, education, critique
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsProduct (mathematics)Perspective (graphical)Identity (music)

Abstract

fetched live from OpenAlex

La formation a été conçue comme un processus structuré comprenant les cinq phases principales suivantes : Les trois séances théoriques initialesObjectif : Établir une vision partagée du handicap et des troubles du développement et de leur prise en compte pour favoriser l'interaction et rendre accessibles les apprentissages et l' expérience artistique.Contenu des séances : A. Information générale sur la déficience intellectuelle et le trouble du spectre de l'autisme, y compris leur histoire et les principes généraux d'intervention.B. Approfondissement sur la communication et l'interaction avec des personnes vivant avec des limitations.C. Concepts de pédagogie, pédagogie adaptée et stratégies d'accessibilisation des apprentissages.

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.021
Scholarly communication0.0060.003
Open science0.0010.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.022
GPT teacher head0.355
Teacher spread0.333 · 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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