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Record W4409476675 · doi:10.53103/cjlls.v5i2.201

A Critical Analysis of the Representation of Choice Feminism in Louisa May Alcott's Little Women

2025· article· en· W4409476675 on OpenAlexvenueno aff

Bibliographic record

VenueCanadian Journal of Language and Literature Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture, Design, and Social History
Canadian institutionsnot available
Fundersnot available
KeywordsFeminismRepresentation (politics)SociologyGender studiesPsychologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

Little Women by American novelist Louisa May Alcott is a well-known novel in American literature that deals with feminist issues.This text analyses choice feminism through the four sisters Meg, Jo, Beth, and Amy.Qualitative research shows how these four sisters make decisions, set goals, and make sacrifices.The study examines the attempts of the characters to negotiate gender norms, set personal goals, and make decisions as per their choices.This analysis emphasizes the elements that empower choice feminism, where the four sisters want to be autonomous, with the help of historical and modern feminist theories.At the same time, this paper shows the limitations and contradictions that are parts of choice feminism.By revealing their shortcomings, the characters need to accept the gendered norms and social effects that form their choices.This study aims to critically analyse the novel's depiction of choice feminism through a close textual analysis and feminist theory, which can be enlightening for current discussions about the role of choice in feminist involvement and concept.This study will add new knowledge to the existing debate on women's agency and empowerment, echoes with themes about choice feminism in the modern era.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.954

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 integrity0.0000.000
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 head0.017
GPT teacher head0.298
Teacher spread0.280 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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