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Record W4328121666 · doi:10.5430/wjel.v13n2p515

Female Evil in Rosalie Ham's Novel the Dressmaker (2000)

2023· article· en· W4328121666 on OpenAlexvenueno aff
Rafal Naser Hussein

Bibliographic record

VenueWorld Journal of English Language · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsTheme (computing)Character (mathematics)PsychologyPsychoanalysisPolitical ponerologySocial psychologySociologyEpistemologyPhilosophyComputer scienceMathematics

Abstract

fetched live from OpenAlex

This research highlights the theme of female evil in Rosalie Ham's novel The Dressmaker. It mainly seeks to examine the evil aspect of female as it is portrayed in the selected novel. The qualitative method is used to study the evil side of the main character. The focus is made on the psychological aspect of female evilness. Therefore, this research is psychoanalytical, and it is based on Heinz Kohut’s theory of self-psychology. Much specifically, Kohut's theory of self-psychology forms the basis of analyzing the heroine's psychological structure and her motives behind burning the city. The findings reflect that Rosalie Ham's The Dressmaker embodies representations of the female evil. Moreover, this female evil is a reaction, or in a sense an act of revenge, to bullying, abuse and rejection faced by the main character in the selected novel.

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)0.001
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.045
GPT teacher head0.387
Teacher spread0.343 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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