From Peace Talks to Pandemics: The Continuum of Feminist Peace Activism
Bibliographic record
Abstract
Abstract Feminist scholarship has convincingly shown that violence is more accurately conceptualized as a continuum rather than a war/peace binary. While recent scholarship has elucidated women's peace activism during armed conflict, peace negotiations, and post-peace agreement transitions, we know little about the work of self-identified women peace activists beyond those highly visible moments. We examine the activities of a Burundian women's peace organization in exile, Mouvement Inamahoro, during COVID-19. Our data are derived from thirty-six semi-structured interviews with individual members of the organization and reviewing hundreds of primary-source documents. We find that from Inamahoro’s standpoint, the intersection of COVID-19 and exile constituted security threats, relevant to its mandate to build peace. Accordingly, it responded with humanitarian assistance, advocacy, and awareness-raising among its own members as well as with Burundians both inside and outside the country. Inamahoro also continued its regular activities to promote longer-term peace and security in Burundi through media programming, training women and girls for political leadership, and liaising with Burundian civil society and international non-governmental organizations (INGOs). Based on the continuum of violence concept and building inductively from the Inamahoro case, we propose a multidimensional continuum of activism that occurs before, during, and following conflict (dimension 1, time); is conducted in multiple arenas (dimension 2, space); deals with issues of insecurity at multiple levels (dimension 3, scale); and is concerned with threats that are structural, direct, and cultural/symbolic (dimension 4, type). In so doing, we offer a preliminary framework with which to examine the everyday activities of women peace activists, which constitute often overlooked interventions in global politics.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.043 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".