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Record W4410833447 · doi:10.26034/vd.fpeq.2018.247

Aperçu de l'enseignement des arts visuels en Amérique du Nord du XIXe siècle à nos jours

2018· article· fr· W4410833447 on OpenAlexaboutno aff
Miriam Lemonchois

Bibliographic record

VenueFormation et pratiques d’enseignement en question · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicPhotographic and Visual Arts
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Ce texte présente quelques éléments pour comprendre le développement l’enseignement des arts aux Etats-Unis et en parallèle au Québec. Ses références sont des ouvrages sur l’histoire de l’enseignement des arts et sur l’histoire de l’enseignement, ainsi que des articles parus dans des revues spécialisées et des mémoires universitaires. Le modèle d’enseignement des arts issu des académies européennes ne sera pas présenté car rejeté en Amérique du Nord dès la fin du 19 e siècle, dans le cadre d’un mouvement de revendication d’une identité nationale. Quant au modèle progressif, spécifique à l’Amérique du Nord, il fera l’objet d’une plus longue présentation. Dans un deuxième temps, l’article se centre sur les transformations du le domaine à partir des années 1950 aux Etats-Unis et dans les années 2000 au Québec. Enfin, la conclusion de cet exposé porte sur des constats observés de nos jours, qui traduisent l’héritage de cette histoire particulière, et sur des propositions pour (re)penser cet enseignement

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)0.001
metaresearch head score (Gemma)0.003
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: Review · Consensus signal: none
Teacher disagreement score0.620
Threshold uncertainty score0.764

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.005
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.020
GPT teacher head0.286
Teacher spread0.266 · 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
GenreReview

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 routes1
Has abstractyes

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