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Record W2291329716 · doi:10.1353/wfs.2015.0010

Care and the Bodily Identity of the Urban besogneuse in Gabrielle Roy’s Bonheur d’occasion

2015· article· en· W2291329716 on OpenAlexaboutno aff
Aubrey Jones Kubiak

Bibliographic record

VenueWomen in French studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSubjectivityMeaning (existential)Subject (documents)BeautyAestheticsAffect (linguistics)DutySociologyReading (process)Gender studiesPsychoanalysisArtPsychologyPhilosophyEpistemologyLinguistics

Abstract

fetched live from OpenAlex

This article presents Gabrielle Roy’s 1945 novel Bonheur d’Occasion as a reading of the female literary body that contributed to nascent changes in feminine literary subjectivity in Quebec’s cultural texts leading up to the Quiet Revolution, and one that provides a critical approach to a matrix of meaning that has been largely overlooked in studies of the novel and of Quebec’s fiction at large: namely, that of love, labor, and the body in the emerging urban setting. Establishing subjectivity as necessarily corporeal, the article demonstrates that by examining the configurations, movements, and ornamentation of the female body-subject in Gabrielle Roy’s Bonheur d’Occasion , a careful reader will note that Roy’s female protagonists, Rose-Anna and Florentine, begin to move away from their position as mere objects of the male gaze and as commodities in “l’ordre de la production” of which male habitants were the proprietors (Boynard-Frot 126). This shift toward literary women’s subjectivity is effected by means of what I define as care, that is, the convergence of love and labor, or affect and duty. Female body-subjects in Roy’s work are portrayed as inter -subjects, finding meaning and authenticity when their labor is marked by affect linking them to a loved one. When their actions and desires are out of alignment, both body and subjectivity deteriorate, signaled by mechanization and disfigurement.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.163
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.236
Teacher spread0.201 · 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 teacher head, 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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