Urban geography in crisis times: insights from a feminist project
Bibliographic record
Abstract
Abstract. In this short intervention addressing the impact of crises on geographical knowledge practices, we, members of GenUrb (a multi-sited, longitudinal, partnered urban research project), ask, “what counts as crisis?”, sketching out epistemological and methodological points about our project's engagement with this call. We query the adeptness of dominant Eurocentric epistemologies in addressing crises, adopting the work of Bedour Alagraa, who places crises firmly within a historical–geographical colonial framing that conceptualizes crises not through rupture but through continuation. We illustrate the utility of this epistemological framing of crisis, honing in on the everyday violence that women continually experience, with our research in the cities of Cochabamba, Delhi, Georgetown, Ibadan, Ramallah, and Shanghai, showing that one in every two women participants had experienced intimate partner violence. We further ask what crises mean for the methodologies we adopt, specifically concerning questions of the co-production of knowledge and methods.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".