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Record W2891347940 · doi:10.7202/1050657ar

Déconstruire le manuel d’histoire pour (re)construire des savoirs plus justes : récit de pratique en formation initiale et continue des enseignantes et des enseignants

2018· article· fr· W2891347940 on OpenAlexvenueno aff
Marie-Hélène Brunet, Stéphanie Demers

Bibliographic record

VenueRecherches féministes · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Les pédagogies féministes s’articulent autour de la reconnaissance et de la lutte contre les mécanismes d’oppression et de subordination dans la construction sociale du féminin qui perpétuent la disqualification des femmes et de leurs voix. L’École contribuerait à cette construction par ses contenus et les postures sous-jacentes à leur apprentissage, ce qui la ferait ainsi participer à une vaste œuvre de reproduction sociale consolidée notamment par l’autorité conférée à ses discours, dont ceux des manuels scolaires. Le récit de pratique présentée par les auteures décrit un atelier donné en formation initiale à l’enseignement, de même qu’à des enseignantes et à des enseignants en formation continue, et certains de ses effets. À l’aide du concept d’agentivité historique, les participantes et les participants ont exercé leur agentivité épsitémique en comparant les récits offerts par différents manuels d’histoire, en commentant les rôles attribués aux femmes dans les différentes trames narratives et en repérant les obstacles à la compréhension de l’agentivité des femmes dans l’histoire.

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)0.008
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.019
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.386
GPT teacher head0.439
Teacher spread0.053 · 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

Citations10
Published2018
Admission routes1
Has abstractyes

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