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Record W2485649624 · doi:10.1177/2158244016663798

Why He Won’t Send His Daughter to School—Barriers to Girls’ Education in Northwest Pakistan

2016· article· en· W2485649624 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSAGE Open · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsSt. Thomas University
Fundersnot available
KeywordsPoliticsEconomic growthPovertyPolitical scienceAuthoritarianismResistance (ecology)Futures contractSociologyGender studiesEconomicsDemocracy

Abstract

fetched live from OpenAlex

Resistance to girls’ education in Pakistan has long been an intractable problem; the lowest enrolment figures are in Pashtun areas. This study focused on Pashtun men’s perceptions of girls’ education. Pashtun men of diverse backgrounds participated in a two-round Delphi exercise, followed by in-depth qualitative interviews in Khyber Pakhtunkhwa Province of Pakistan bordering Afghanistan. Although contradictory ideas from religion, culture, and politics were elicited, consensus developed on major barriers to girls’ access to education: poverty, Pashtunwali (tribal code), religion, accessibility, resources, shortage of female teachers, curriculum, and political apathy and corruption. Understanding the barriers to girls’ education could help development professionals overcome them.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.957
Threshold uncertainty score0.998

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 science0.0010.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.345
Teacher spread0.326 · 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