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Record W3006917770 · doi:10.3917/spir.064.0011

Lire et interpréter des tableaux anciens avec des élèves du primaire au Québec

2019· article· fr· W3006917770 on OpenAlexaffabout
Catinca Adriana Stan, Alexandre Zarié, Julien Vallée-Longpré

Bibliographic record

VenueSpirale - Revue de recherches en éducation · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cet article est issu d’une recherche exploratoire proposant une démarche interdisciplinaire d’analyse et d’interprétation des œuvres d’art en classe d’univers social, en 4 e et 5 e années du primaire (équivalent du CM1 et du CM2 français) au Québec. Cette démarche accorde un double statut aux œuvres d’art, soit d’objets esthétiques et de documents historiques, dans le but d’amener les enseignants et leurs élèves à faire un travail interprétatif de type historien qui prend en compte la dimension esthétique des œuvres d’art. La recherche consistait en une séance de modélisation en classe (n = 4), suivie d’un exercice d’analyse d’aquarelles, qui nous a permis d’observer comment les élèves combinent la lecture sensible et la lecture historienne lors de leur travail interprétatif.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.084
GPT teacher head0.304
Teacher spread0.221 · 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 teacher head, not a consensus.

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

Citations5
Published2019
Admission routes2
Has abstractyes

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