Gendered urban cycling and the ethics of caring: coming to voice in the streets of Tijuana and Oaxaca amidst the <i>patriarcarro</i>
Bibliographic record
Abstract
This article explores grassroots organisations and collectives of women cyclists in the cities of Tijuana and Oaxaca, Mexico. Taking a narrative approach, it delves into the idea of public space that emerges from their life histories, chronicles, and talk groups. It contends that the narratives of their urban practices and interventions, and of their lives as a whole, are a radical resignification of the meaning and purposes of streets and other urban public spaces. Currently sites of different forms of oppression, in these women’s actions and narrative formulations, they become places ‘from which I come to voice’, intersubjective locations of ‘radical openness and possibilities’ developed through an ethics of caring. This collective vision pushes against capitalist ideas of streets as places for the efficient transit of individuals for productivity and consumption, and against oppressive boundaries of gender, sex, and class. Instead, what emerges from their narrated experience is a relational form of mobility, a way through the city that fosters self-affirmation, inclusivity, and community. Our contribution is based on five years of ethnographic fieldwork in Mexico and on ‘disappropriative writing’ exercises with our participants to produce the collaborative public archive of community narratives of urban cycling (www.reciclarseenlaciudad.com) upon which this and other research outcomes of this project are based.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.022 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".