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Record W2963429520 · doi:10.71781/22750

La représentation des communautés culturelles dans les récits de Gabrielle Roy

2019· dissertation· fr· W2963429520 on OpenAlexaboutno aff
Ziao Zhang

Bibliographic record

VenueOpen MIND · 2019
Typedissertation
Languagefr
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

Ce mémoire étudie la représentation des communautés culturelles dans l'œuvre de Gabrielle Roy, en particulier dans deux romans et un recueil de nouvelles : Rue Deschambault (1955), Un jardin au bout du monde (1975) et Ces enfants de ma vie (1977). Composés de récits distincts consacrés à divers personnages d'immigrants (ou enfants d'mmigrants), ces trois œuvres brossent un portrait contrasté de l'Ouest canadien dans un pays qui était déjà « multiculturel » avant que le multiculturalisme devienne la politique officielle du Canada. À travers les souvenirs de la narratrice qui sert de truchement à l'auteure à l'époque où elle était jeune fille (Rue Deschambault) puis enseignante (Ces enfants de ma vie), ou par la voix d'un narrateur omniscient (Un jardin au bout du monde), le regard que jette Gabrielle Roy sur la condition des immigrants est à la fois critique et empathique de leur situation économique et sociale. Notre étude s'attache aussi à la condition réservée à la minorité francophone dans l'Ouest canadien, qui la rapproche de celle des immigrants représentés dans l'œuvre de l'écrivaine franco-manitobaine.

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)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.468
Threshold uncertainty score0.942

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.010
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
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 head0.084
GPT teacher head0.362
Teacher spread0.278 · 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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Same venueOpen MINDSame topicDiverse Cultural and Historical StudiesFrench-language works237,207