Building the City of Women: creating a site of feminist resistance in a northern Colombian conflict zone
Bibliographic record
Abstract
Against all odds, in uncertain and violent times, Colombian women are mobilising for peace. They do so even when they face ongoing violence and personal threats from a variety of armed actors. Despite a well-established tradition of studying women’s social movements in times of conflict, there is a lacuna when it comes to analysing feminism as a mobilisation strategy. This article uses the case study of the League of Displaced Women, the Liga de Mujeres Desplazadas (LMD) to illustrate the utility of Zulver’s High Risk Feminism framework to explain how and why women chose to build the City of Women, despite the real and threatened danger that this implied. The article narrates the history of the LMD, from its foundations in a geography of marginality to its creation of a space of resistance for displaced women and their families. In all, this articles demonstrates how feminist resistance has not only become a way of life for the women of the LMD, but also a strategy for creating pockets of safe places in the midst of a conflict zone.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".