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The construction of the new female identity in Virginia Woolf's To the lighthouse and Margaret Laurence's A jest of god

2024· article· en· W4400092807 on OpenAlexaboutno aff
Zinah Abdulhur Jabbar

Bibliographic record

VenueInternational Journal of Advanced Academic Studies · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicModernist Literature and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Irrational numberConstruct (python library)Character (mathematics)Independence (probability theory)SociologyGender studiesEconomic independencePsychoanalysisPsychologyArtAesthetics

Abstract

fetched live from OpenAlex

Literature has always been a discrete area for women through which they express their hopes, desires and fears. The female character has long been associated with the usual strict stereotypes as passive, irrational, weak and compassionate. They have always been seen as the weakest sex in need of a savior, restricting their function to being saved rather than rescuing others. This study deals with two novels published in the 20th century, Virginia Woolf’s To The Lighthouse (1927) and Margaret Laurence’s A Jest of God (1966) whose heroines are a good example of the new female who fights to construct her new identity in two different countries, England and Canada. Woolf recognizes that women have been prohibited from society and from writing in their own voice. Thus, To the Lighthouse constitutes a feminist analysis of the rejection of women from education and economic independence. At that time, marriage, divorce and child custody were of great importance, which explains the attitude of the male characters towards the artist Lily Briscoe, a spinster.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0160.025
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.349
Teacher spread0.311 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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