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Record W3161994269 · doi:10.55765/atps.i3.157

Art au travail un programme de création collective en milieu de travail

2018· article· fr· W3161994269 on OpenAlexaffabout
Eva Quintas

Bibliographic record

VenueRevue internationale animation territoires et pratiques socioculturelles · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsScience pour tous
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

L’organisme Culture pour tous développe depuis 2007 le programme de créations collectives Art au travail avec la collaboration d’artistes et d’entreprises privées, publiques et parapubliques. Une trentaine de projets ont été réalisés à ce jour, dans une variété de lieux à travers le Québec : usines, compagnies financières, centres sociaux, services municipaux, etc. Ce programme s’ancre dans une volonté de l’organisme d’accroître la participation citoyenne en culture en rapprochant les artistes et les processus créatifs des milieux de vie. Culture pour tous s’allie également à des chercheurs en sociologie et en communication afin de documenter et de valoriser les impacts des projets de médiation et de création partagée. À l’heure où la capacité des organisations à se transformer est un enjeu primordial, les valeurs et processus liés au monde de l’art et de la création sont de plus en plus considérés comme des outils de management.

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)0.008
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 score0.162
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0140.017
Scholarly communication0.0110.004
Open science0.0020.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0250.003

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 head0.032
GPT teacher head0.302
Teacher spread0.270 · 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
Published2018
Admission routes2
Has abstractyes

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