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Record W1728481447

Masculinity\Feminity in Alice Walker’s Color Purple: A Womanist Approach

2014· article· en· W1728481447 on OpenAlexvenueno aff
Navid Salehi Babamiri, Naser Dashtpeyma, Leily Jamali

Bibliographic record

VenueJournal of academic and applied studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
Fundersnot available
KeywordsMasculinitySubjectivityWhite (mutation)Gender studiesResistance (ecology)Power (physics)AutonomyBlack womenSociologyPsychologyPolitical scienceLawEpistemologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This essay confines to the burgeoning and exercising of power of African-American within the AfricanAmerican tradition. It also tracks down the negative, undesirable and traumatic effect of masculinity within family and community relations. Two principal reasons that white and men manipulate to inhibit women from social and familial movements within the traditional culture are to be nominated negatively as black and woman. Women should struggle against enslavement with the masculine world and go on their quest for subjectivity by revising the terms of love, autonomy and liberty. So the present study deals with the women's experiences as both oppressed and marginalized groups due to the masculine functionality. In order to be successful the woman should resist all kinds of oppressions as beating and abusing and even the controlling negative stereotypes like “mule” and “jezebel.” Hence masculine prejudices and violence against women and the response to the injustices based on the nature of resistance through womanist point of view are surveyed to show that masculinity is also related to women.

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)0.002
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 score0.686
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.049
GPT teacher head0.336
Teacher spread0.287 · 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
Published2014
Admission routes1
Has abstractyes

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