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Record W4311008522 · doi:10.37119/ojs2022.v28i1a.614

Feminist Resistance Through the Lens of Everyday Lived Experiences of Young Women in India

2022· article· en· W4311008522 on OpenAlexaffvenue
Nabila Kazmi

Bibliographic record

Venuein education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsOppressionGender studiesResistance (ecology)NarrativePraxisSociologyScholarshipLived experienceNarrative inquiryPsychologyPolitical sciencePoliticsArt

Abstract

fetched live from OpenAlex

In this article, I examine the lived experiences of two young women from urban slums in India who participated in an after-school program focusing on issues of gender inequality within their homes, communities, and schools. Through unstructured and semi-structured interviews and observations, this paper argues that young women from marginalized spaces resist patriarchal structures of society through everyday acts of resistance. Using narrative inquiry, the data reveal that young women use different yet interconnected means to resist oppression in their daily lives. The article makes a case for expanding feminist resistance scholarship to be inclusive of young women at the periphery and their everyday resistance for finding a voice. Keywords: youth activism, narrative inquiry, lived experiences, pedagogical praxis, feminist resistance

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)0.001
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 score0.115
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.030
GPT teacher head0.324
Teacher spread0.293 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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