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Women’s issue in Su Tong’s novel “Wives and Concubines”

2019· article· en· W2952584382 on OpenAlexaboutno aff
Alisa Andreevna Lobova

Bibliographic record

VenueRUDN Journal of Studies in Literature and Journalism · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyChinaGender studiesPower (physics)PoliticsNarrativeSacrificeLimitingQuarter (Canadian coin)Position (finance)Political scienceSociologyHistoryLawLiteratureArt

Abstract

fetched live from OpenAlex

The paper examines Su Tong’s novel “Wives and Concubines” as historical resource to study the position of women in the first quarter of the 20th century in China. Literature is accurate in assessing changes in mentality of society. The process of the women’s role transformation is the most complex and insufficiently studied issue still. The first part of the 20 century Xinhai Revolution overthrew the Qing dynasty and China had a great impact of Western culture. This is the era which the women’s movement also belongs. Even the novel “Wives and Concubines” author shows harsh reality of women from province, where the traditions, sexual politics, gender hierarchies, class are repressed them a lot. Within the narrative of novel women are abused by authority male culture. The Chinese revolution in 1911 didn’t change the main rules that govern society. There was still strong perception of power-related norms in people’s ideology about marriage, traditional role of women is linked to family, limiting the career development and ambitions. Women shall be defined as obedient and dependent in support their husbands even if they sacrifice their own careers.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.267
Teacher spread0.243 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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