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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 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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score0.238

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.038
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 teacher head, 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
Published2024
Admission routes1
Has abstractyes

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