To settle for a gendered peace? Spaces for feminist grassroots mobilization in Northern Ireland and Bosnia-Herzegovina
Bibliographic record
Abstract
This paper offers an examination of citizenship in the context of post-conflict transformation as an important scenario in which to investigate the possibilities for the inclusion of women and women’s demands in the transition to peace. Drawing on interview and ethnographic data collected in Northern Ireland and Bosnia-Herzegovina, the paper highlights a site of tension between the aspirations for transformation and inclusion set out internationally in UNSCR 1325 and the gender underpinnings of consociationalism that shape the broader political, social and cultural context of citizenship in these case studies. It illustrates that women and women’s claims are repeatedly side-lined in favour of matters that are deemed of more vital interest in the quest for ‘peace’, such as relations between ethno-national groups, security concerns and stability of institutions. Despite this damning failure, women and feminist activists continue to mobilise, as individuals and collectively, in order to make demands for social, political and cultural transformation. The paper argues that attending to these dynamics is crucial if we strive to transform the gender regimes underpinning war/peace and acknowledge women as agents in this process.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.027 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".