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Record W7081910907 · doi:10.7202/1119532ar

Genre, transgression et féminité dans <i>La squaw blanche</i> d’Emma Morrier

2024· article· fr· W7081910907 on OpenAlexaffvenueabout

Bibliographic record

VenueCahiers franco-canadiens de l Ouest · 2024
Typearticle
Languagefr
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDominionOrder (exchange)FrenchPower (physics)

Abstract

fetched live from OpenAlex

Pionnière de la littérature francophone dans l’Ouest canadien, Marie-Joséphine Emma Morrier (née Gravel) est l’auteure de plusieurs pièces de théâtre dont la plus connue est sans doute Bon sang ne ment pas qui a été sélectionnée pour représenter l’Alberta à l’occasion de la 3e édition du concours dramatique du Dominion en 1935 à Ottawa. Sous le pseudonyme de Madrina, Morrier a également signé un grand nombre de chroniques dans Le Patriote de l’Ouest puis dans La Survivance. Fait moins connu, Emma Morrier s’est essayée comme romancière. À l’aube de sa vie, elle compose un roman-feuilleton qui sera publié dans la page féminine du Droit, puis dans La Survivance sous le titre La squaw blanche. À notre connaissance, ce roman à caractère autobiographique n’a fait l’objet d’aucune étude critique. Le propos de cet article sera de combler ce manque en proposant une analyse du roman, attentive à la fois à la question de son genre et à la représentation qu’il propose de la féminité. Nous nous interrogerons en particulier sur la nature transgressive de ce récit de voyage qui met en scène un protagoniste féminin.

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)0.001
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.752
Threshold uncertainty score0.493

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.010
Scholarly communication0.0060.002
Open science0.0000.002
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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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
Published2024
Admission routes3
Has abstractyes

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