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Record W4390890843 · doi:10.18162/fp.2023.a303

Être artiste et enseignant.e : éthique et acceptation sociale

2023· article· fr· W4390890843 on OpenAlexaffvenue
Bruce Maxwell, Alexia R. Lewis

Bibliographic record

VenueFormation et profession · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de Montréal
Fundersnot available
KeywordsPhilosophySociologyHumanities

Abstract

fetched live from OpenAlex

HRONIQUE • Éthique en éducationEn plus d' être des artistes visuelles célébrées, qu' ont en commun Louise Bourgeois, Corita Kent, Georgia O'Keefe et Faith Ringgold ?Elles ont toutes travaillé en tant qu' enseignantes dans des écoles publiques ou privées.Étant donné la nature souvent subversive de leurs créations artistiques -les sculptures anxiogènes de Bourgeois, les vagins stylisés de O'Keefe, les courtepointes antiracistes de Ringgold -, on peut se demander ce qui serait advenu si ces travaux avaient été créés en même temps qu' elles travaillaient dans les écoles.Les activités créatives de ces enseignantes, réalisées hors du cadre scolaire, auraient-elles pu faire l' objet de sanctions professionnelles ?Cet article explore comment les projets artistiques des enseignant.e.s dans leur vie privée peuvent entrer en conflit avec les attentes de la société à leur égard.En effet, être à la fois artiste et enseignant.edemande de naviguer entre le monde de l'art contemporain, souvent conçu pour déranger ou critiquer la société, et le monde scolaire, occupé par la transmission de valeurs traditionnelles comme la famille, le travail et la politesse.

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)0.004
metaresearch head score (Gemma)0.016
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 score0.217
Threshold uncertainty score0.726

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0050.005
Scholarly communication0.0180.010
Open science0.0020.003
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.2170.058

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 head0.216
GPT teacher head0.494
Teacher spread0.278 · 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
Published2023
Admission routes2
Has abstractno

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