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Record W4412434487 · doi:10.1177/00220027251355747

Institutionalized but Under Implemented: Factors Affecting Women’s Inclusion in Peace Negotiations Between 1975 and 2020

2025· article· en· W4412434487 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Conflict Resolution · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsAcadia UniversityUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaHarvard Kennedy School
KeywordsNegotiationInclusion (mineral)Political sciencePsychologyPublic relationsPolitical economySociologySocial psychologyLaw

Abstract

fetched live from OpenAlex

The Women, Peace, and Security (WPS) agenda has achieved global prominence. Yet, women’s participation in peace negotiations remains rare, and little is known about which factors facilitate their inclusion. Quantitative scholarship has been hampered by incomplete data, drawing almost exclusively from prominent negotiations where agreements were reached. To address this shortcoming, we introduce a novel dataset comprising 267 dyadic negotiations between 1975 and 2020. We find two distinct pathways to women’s representation. First, representation in government and rebel negotiating delegations is linked to higher rates of women’s participation in rebel group leadership, higher levels of feminist mobilization, and the presence of a WPS National Action Plan. Second, representation in civil society delegations correlates to international mediation and higher levels of women’s representation in parliament. These findings suggest that the norm of women’s inclusion continues to face barriers that can be overcome by a particular combination of actors and domestic commitments.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.770

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.036
GPT teacher head0.349
Teacher spread0.313 · 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