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Record W1766521374 · doi:10.18733/c3rc7b

Men’s Perception of Women’s Role and Girls’ Education among Pashtun Tribes of Pakistan: A Qualitative Delphi Study

2015· article· en· W1766521374 on OpenAlexvenueno aff
Aamir Jamal

Bibliographic record

VenueCultural and Pedagogical Inquiry · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsSociocultural evolutionPoliticsGender studiesPerceptionQualitative researchSociologyPolitical sciencePsychologySocial scienceLawAnthropology

Abstract

fetched live from OpenAlex

This paper examines how Pashtun men perceive women’s role and girls’ education. A modified two-round Delphi exercise was followed by in-depth qualitative interviews with Pashtun men of diverse backgrounds, including representatives of religious and political groups. The interviews demonstrated that the sociocultural status of women, and consequently their access to education, remains deeply tied to Pashtunwali (tribal code) and rigid religious interpretations. Though at times contradictory, the ideas and stereotypes arising from religion, culture, and politics were found to meaningfully shape men’s attitudes about women’s participation in community and education. However, the study found that, compared to rural and tribal areas, these traditions and restrictions are not as rigidly practiced in the urban and plains areas. Understanding men’s views is a starting point. The next step is to engage men in the collective struggle for gender justice.

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)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.504
GPT teacher head0.536
Teacher spread0.032 · 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 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

Citations17
Published2015
Admission routes1
Has abstractyes

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