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Record W4360985888 · doi:10.1177/23477970231152027

Disrupting the Saviour Politics in the Women, Peace and Security Agenda in the Global South: Grassroots Women Creating Gender Norms in Nepal and Sri Lanka

2023· article· en· W4360985888 on OpenAlexaff
Crystal Whetstone, Luna K.C.

Bibliographic record

VenueJournal of Asian Security and International Affairs · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsMcGill UniversityCanadian Institute for International Peace and Security
Fundersnot available
KeywordsGrassrootsPolitical scienceGender studiesPoliticsGlobal SouthGlobal cityConstruct (python library)Global politicsSociologyEconomic growthLawGeography

Abstract

fetched live from OpenAlex

Saviour politics permeates some understandings of global gender norms by those who construct the Global North as the origin of global gender norms, and less attention is given to how saviour politics functions within the Global South, wielded by some privileged women against grassroots women. We argue that grassroots Global South women, despite their marginalisation, are global gender norms actors and deserve greater decision-making power on the local and international stages. We show how the United Nations Security Council Resolution 1325 on Women, Peace, and Security (WPS) and the broader WPS agenda focus on global gender norms construction in Nepal and Sri Lanka. We rely on qualitative methods. We highlight work done by grassroots women from diverse castes, ethnicities, religious backgrounds, abilities, education and social locations that construct global gender norms. This article adds to the WPS, Global South-Global North relations and global gender norms building.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.013
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.023
Scholarly communication0.0070.004
Open science0.0010.008
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.318
Teacher spread0.286 · 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

Citations21
Published2023
Admission routes1
Has abstractyes

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