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Record W4379619761 · doi:10.1353/his.2023.a899602

Voix d’enfants canadiens et racisme catholique : L’ŒUVRE de la Sainte-Enfance au XXe siècle

2023· article· fr· W4379619761 on OpenAlexvenueaboutno aff
Benoit Gaudreault, Catherine Larochelle

Bibliographic record

VenueHistoire sociale · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtEthnologySociology

Abstract

fetched live from OpenAlex

L’Œuvre de la Sainte-Enfance connut un succès gigantesque auprès des enfants catholiques canadiens entre les années 1920 et 1960. À travers cette implication missionnaire, les enfants ont été formés à croire en leur capacité de rédemption de l’enfance éloignée. La Sainte-Enfance transformait les enfants lointains en possession, commodités, jeux et personnification à la disposition de l’imagination géographique et émotive des jeunes Canadiens français et Canadiennes françaises. Elle le faisait en s’appuyant sur des techniques pédagogiques et des pratiques antérieures et transnationales de performances racialisées. Comment peut-on donc faire l’histoire de la participation des enfants canadiens-français à cette œuvre en analysant leur propre voix ? Par l’étude d’un corpus de 803 lettres envoyées par des enfants, nous disséquons comment l’Œuvre de la Sainte-Enfance rythmait le quotidien des jeunes Canadiens français et Canadiennes françaises et quel univers de représentations raciales et genrées elle leur offrait.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.728

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.012
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.012
GPT teacher head0.278
Teacher spread0.267 · 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 designNot applicable
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
Published2023
Admission routes2
Has abstractyes

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Same venueHistoire socialeSame topicCanadian Identity and HistoryFrench-language works237,207