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Record W2517774043 · doi:10.7202/1036431ar

Pratiques déclarées d’enseignants d’histoire au secondaire en lien avec leurs usages des ressources didactiques et l’exercice de la méthode historique

2016· article· fr· W2517774043 on OpenAlexaffvenueabout
Vincent Boutonnet

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

L’article propose une analyse descriptive de pratiques déclarées d’enseignants d’histoire au secondaire en lien avec leurs usages des ressources didactiques et l’exercice de la méthode historique. Nous proposons une analyse complémentaire d’un sondage sur les fonctions déclarées par 81 enseignants du Québec. Le sondage permet d’identifier différents types d’usages selon les réponses données : intensif, extensif, critique. Le type extensif est majoritaire et s’appuie sur un usage diversifié et partiel de ressources didactiques. Cependant, la place de la méthode historique, de l’interprétation et de la critique est plutôt faible, puisque l’usage extensif des ressources sert davantage à illustrer et exposer les faits par le contrôle exercé par l’enseignant sur la structuration du savoir historique. Les fonctions attribuées par ces enseignants ne semblent pas varier selon leurs années d’expérience.

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)0.019
metaresearch head score (Gemma)0.033
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: Empirical
Teacher disagreement score0.424
Threshold uncertainty score0.843

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0120.015
Scholarly communication0.0100.006
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0160.002

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 head0.447
GPT teacher head0.464
Teacher spread0.017 · 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

Citations9
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueMcGill Journal of Education / Revue des sciences de l éducation de McGillSame topicEducator Training and Historical PedagogyFrench-language works237,207