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La guerre comme mythe fondateur de l'identité nationale : discours d'enseignants en formation

2015· article· en· W4299520074 on OpenAlexaboutno aff
Vincent Boutonnet, Stéphanie Demers, David Lefrançois, Marc–André Éthier

Bibliographic record

VenueDidactica Historica · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyDestiny (ISS module)Identity (music)HumanitiesSociologyRelevance (law)CitizenshipSpanish Civil WarPedagogyPolitical scienceLiteratureArtLawAestheticsPoliticsEngineering

Abstract

fetched live from OpenAlex

This paper presents our analysis of the discourse held by students enrolled in a high school history teacher education program relative to armed conflicts, the role they play in Quebec’s history, and their relevance to the history and citizenship education curriculum. We sought to determine what type of identity emerged from the use of war as a founding myth in history teaching in Québec. The results of this analysis have led us to question the kind of shared destiny project built by future high school history teachers through the mythologization of war. If, as Taylor suggests*, this project encompasses how citizens engage with the nation, and examining the nature of the various types of engagement resulting from future teachers’ inherent conceptions of war erected as a myth may help understand how war is eventually presented to students.

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 score0.680
Threshold uncertainty score0.643

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0270.023
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.155
GPT teacher head0.389
Teacher spread0.234 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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