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Record W2787894741

Un "espace sourd" dans les musées québécois

2017· article· fr· W2787894741 on OpenAlexaboutno aff
Ingrid Valent

Bibliographic record

VenueArchipelago (Université du Québec à Montréal) · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPublicsMediationThe artsEthnologyPolitical scienceSociologyVisual artsLaw
DOInot available

Abstract

fetched live from OpenAlex

Ce mémoire propose une réflexion sur l'expérience artistique muséale de la communauté sourde québécoise. Depuis de nombreuses années, les musées déploient de plus en plus de ressources afin de développer des outils de médiation adaptés à leurs publics. Mais qu'en est-il des publics sourds dont les besoins spécifiques sont encore peu pris en compte? Quels sont leurs besoins? Quels sont les dispositifs de médiation disponibles au Québec et ceux qui pourraient être mis en place? Quels enjeux soulèvent l'accessibilité muséale de cette communauté? Pour répondre à ces questions, nous avons réalisé une enquête de terrain dans laquelle sont interrogés autant des Sourds que des responsables des musées québécois suivants : Musée national des beaux-arts du Québec, Musée de la Civilisation à Québec, Musée McCord, Musée d'art contemporain de Montréal, Musée des beaux-arts de Montréal. Ceci nous a permis d'élaborer un inventaire de solutions concrètes afin d'encourager et favoriser la médiation culturelle québécoise s'adressant aux Sourds. \n______________________________________________________________________________ \nMOTS-CLÉS DE L’AUTEUR : médiation culturelle, médiation culturelle, publics, musées, accessibilité, Sourd.

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)0.002
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.081
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0230.021
Scholarly communication0.0100.005
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0150.001

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 head0.025
GPT teacher head0.181
Teacher spread0.156 · 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
Published2017
Admission routes1
Has abstractyes

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