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Record W2793712990 · doi:10.7202/1044473ar

DES HISTOIRES DU PASSÉ : LE FÉMINISME DANS LES MANUELS D’HISTOIRE ET D’ÉDUCATION À LA CITOYENNETÉ SELON DES ÉLÈVES QUÉBÉCOIS DE QUATRIÈME SECONDAIRE

2018· article· fr· W2793712990 on OpenAlexaffvenueabout
Marie-Hélène Brunet

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

L’article s’intéresse à la manière dont les élèves traitent les contenus liés au féminisme dans les manuels d’histoire. Un questionnaire a été distribué à 575 élèves québécois de quatrième secondaire afin d’identifier leurs conceptions du manuel et du féminisme. Neuf élèves ont ensuite été rencontrés en entrevue afin d’évaluer leur compréhension de l’agentivité des femmes de même que leur réaction à des récits contradictoires. Les résultats montrent l’importance de prendre en compte les représentations des élèves afin d’évaluer le processus de médiation. Une très forte proportion des élèves (88 %) considère le manuel comme le reflet d’une vérité objective. Ils ressentent un inconfort devant la tâche et tentent d’amoindrir les différences entre les récits en sélectionnant les éléments correspondant à leurs conceptions initiales. Une majorité des élèves rencontrés différencient, de façon variable, les textes en fonction de l’agentivité.

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)0.005
metaresearch head score (Gemma)0.008
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 score0.477
Threshold uncertainty score0.960

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.009
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.270
GPT teacher head0.412
Teacher spread0.142 · 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

Citations5
Published2018
Admission routes3
Has abstractyes

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