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Record W320460274 · doi:10.71781/22733

Étude des tensions au sein de la cellule familiale dans l’œuvre de Ying Chen

2014· dissertation· fr· W320460274 on OpenAlexaboutno aff
Isabelle Payette

Bibliographic record

VenuePapyrus : Institutional Repository (Université de Montréal) · 2014
Typedissertation
Languagefr
FieldSocial Sciences
TopicSocial Policies and Family
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Alors que les premiers romans de l’auteure sino-canadienne Ying Chen pouvaient aisément être rattachés à l’écriture migrante, ses dernières publications s’inscrivent moins clairement dans ce corpus. Pourtant, la critique les aborde encore généralement à partir de cette perspective. La présente étude a pour but d’analyser les romans de Chen qui mettent en scène la « même » narratrice anonyme à partir d’une approche plus appropriée, c’est-à-dire le thème de la cellule familiale. Les écrits féministes sur le rôle de la femme dans la société patriarcale ainsi que ceux sur le récit de filiation façonnent le regard porté sur les tensions au sein de la famille au fil de cette analyse. Le corpus à l’étude se compose du roman Immobile, qui met en scène une femme rejetant la filiation au profit d’ancêtres imaginaires, Le Mangeur qui se concentre sur une paternité étouffante et Un enfant à ma porte qui relate l’échec de la maternité.

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 score0.103
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0150.011
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

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