MétaCan
Menu
Back to cohort
Record W4408674252 · doi:10.1093/isagsq/ksaf015

Do Local Norms Affect Women Ex-Combatants Reintegration in the Postwar Era?

2024· article· en· W4408674252 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

VenueGlobal Studies Quarterly · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsAffect (linguistics)Political sciencePsychology

Abstract

fetched live from OpenAlex

Abstract This paper examines local gender norms and their effects on the reintegration of women ex-combatants after they returned from active conflict in Nepal. The paper points out specific local gender norms that affect women ex-combatants in a particular way. Further, the paper argues how these local norms shape and reshape women’s postwar lives and gender roles. The paper’s findings demonstrate that local gender norms associated with women’s appearance, morality, dress, appropriateness, and behavior affected women’s reintegration in a particular way compared to male combatants. It also argues that the empowerment of women ex-combatants was largely restricted to the wartime period. Women were pressured to adhere to traditional gender norms in postwar times. The study’s findings are based on forty-one qualitative interviews and four focus-group discussions with Nepali Maoist women ex-combatants. The paper contributes to the fields of DDR, local norms, feminist security studies, peace and conflict studies, and feminist international relations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.032
GPT teacher head0.354
Teacher spread0.322 · 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