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Record W3097194297 · doi:10.7202/1072418ar

De Shakespeare à Diam’s en passant par George Lucas et pnl. Kenny Thomas, intervenant social et médiateur

2020· article· fr· W3097194297 on OpenAlexvenueaboutno aff
Elsa Fortant

Bibliographic record

VenueRevue musicale OICRM · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPublicsSociologyArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

Après s’être évertuées à démocratiser l’accès à la culture, les politiques culturelles développées au Québec et en France depuis la fin des années 1980 mettent l’emphase sur les pratiques amateurs et sur la participation citoyenne. Pour rejoindre ces publics et dans des objectifs d’émancipation des populations, les programmes d’action culturelle ont recours à la médiation culturelle, souvent définie comme une approche qui permet de faire le pont entre des pratiques artistiques et des publics. À travers le parcours de Kenny Thomas, travailleur social qui est aussi musicien et rappeur, cet article met en lumière les liens qui existent entre les différents champs auxquels sa pratique se rattache, autrement dit l’intervention sociale et la médiation. Il démontrera que les frontières entre ces mondes sont malléables au point parfois de se confondre.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.013
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0100.003

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 head0.064
GPT teacher head0.328
Teacher spread0.264 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes2
Has abstractyes

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