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Record W3209816506 · doi:10.7202/1083007ar

Vers la consolidation d’une sociologie de l’évaluation scolaire : une revue de la littérature narrative en français

2020· article· fr· W3209816506 on OpenAlexaffvenue
Adriana Morales-Perlaza, Joëlle Morrissette

Bibliographic record

VenueMesure et évaluation en éducation · 2020
Typearticle
Languagefr
FieldDecision Sciences
TopicEducational Assessment and Improvement
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceValuation (finance)ArtBusiness

Abstract

fetched live from OpenAlex

Cet article vise à proposer une consolidation du domaine de la sociologie de l’évaluation scolaire, dans la suite des efforts entrepris en ce sens dans les années 1990. La mise à jour de ce domaine est cruciale, entre autres pour comprendre les changements survenus dans les pratiques d’évaluation des apprentissages des élèves à la suite de la mise en place de la nouvelle gestion publique. Pour ce faire, nous proposons une synthèse des connaissances adossée à l’analyse de 59 textes en français entretenant des liens étroits avec une sociologie de l’évaluation scolaire. Notre analyse fait ressortir quatre catégories d’enjeux sociologiques découlant de cette littérature : 1) la fonction formative de l’évaluation et la progression des apprentissages ; 2) l’évaluation d’un savoir agir et l’adaptation aux contextes complexes ; 3) l’évaluation externe et standardisée, et la fabrication des résultats mesurables ; et 4) l’évaluation comme matérialisation des normes d’excellence et la démocratisation de la réussite scolaire. Nous concluons avec la présentation de perspectives de recherche qui favoriseraient la consolidation de ce domaine.

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)0.036
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.704
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0360.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.126
GPT teacher head0.444
Teacher spread0.318 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2020
Admission routes2
Has abstractyes

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