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Record W3154035196 · doi:10.1111/pech.12452

To Live in Peace: Women Ex‐combatants in Burundi and Northern Uganda Envision Psychosocial Well‐being

2021· article· en· W3154035196 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

VenuePeace &amp Change · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsOperationalizationPeacetimeArmed conflictPsychosocialPolitical scienceGender studiesSociologyCriminologyPsychologyLawPsychotherapist

Abstract

fetched live from OpenAlex

Abstract Contemporary studies show that women play multiple roles in armed conflict. Only rarely are they passive bystanders or victims. Women are often part of the events that lead to armed conflict, and they may engage in combat. They have also led peace movements that have ended conflict. Nevertheless, the multiple roles that women play in war and peace are oftentimes not recognized, and their experiences, beyond victimhood, have been disregarded in post‐conflict reconstruction. Drawing upon research with conflict‐affected women, this paper focuses on how women ex‐combatants in Burundi and Northern Uganda conceptualize and operationalize psychosocial well‐being and articulate the specific contributions they can make to the peacetime community.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.996

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 head0.050
GPT teacher head0.327
Teacher spread0.277 · 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