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Women’s Betrayal and Struggling in “Flowering Judas”

2010· article· en· W1823135588 on OpenAlexvenueno aff
Yu-di Li

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBetrayalTheme (computing)ConscienceHumanitiesArtEthnologySociologyPhilosophyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This paper begins from the analysis of the heroine Laura’s spiritual world to research the theme of Katherine Anne Porter’s short fiction “Flowering Judas”. It respectively analyzed the theme from two aspects: betrayal and struggling. Then this paper tries to comprehend author’s attitude towards life and to have a better understanding of women’s feminist conscious in the reality. Keywords: Katherine Anne Porter, “Flowering Judas”, theme, feminist conscious Resume Cet essai commence par l’analyse du monde spirituel de l’heroine Laura pour etudier le theme du roman Flowering Judas de Katherine Anne Porter. L’analyse s’effectue dans deux aspects : trahison et lutte. Ainsi, l’essai cherche a comprendre l’attitude de l’auteur a l’egard de la vie et a avoir une meilleure comprehension de la conscience feministe des femmes dans la realite. Mots-cles : Katherine Anne Porter, Flowering Judas, theme, conscience feministe 摘 要 本文從凱瑟琳•安•波特的短篇小說《開花的猶大樹》中女主人公勞拉的精神世界入手,分別從背叛與抗爭兩個方面對故事的主題進行了分析,試圖理解作者的人生態度,也對她表現出的女性的生存狀態和她們在面對殘酷現實時的女性意識有更深的認識。 關鍵詞:凱瑟琳•安•波特;《開花的猶大樹》;主題;女性意識

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: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.031

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 studies0.0120.016
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.272
Teacher spread0.258 · 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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