Bicycling for mutual aid: centering racialized and 2SLGBTQ+ cyclists in Toronto
Bibliographic record
Abstract
ABSTRACTWithin the context of a (post-)COVID-19 pandemic world, there is an urgent need to critically explore how bicycle-related activities may contribute to an environmentally sustainable and equitable world for vulnerable populations. In recent years, mutual aid projects have surged globally, with scholars pointing to the COVID-19 pandemic as a key driver of communities being forced to respond to the unfolding social and environmental crises, alongside state abandonment. In this paper, we discuss how cycling has been taken up by communities disproportionately harmed by colonial systems. Using a decolonial feminist participatory action research approach, the authors collaborated with The Bike Brigade, a non-profit bicycle delivery organization that partners with mutual aid organizations. Using arts-based methods and semi-structured interviews, we draw on the perspectives of 2SLGBTQ+ and racialized cyclists who volunteer with The Bike Brigade. A key theme of the research was the unique way in which research colleagues used bicycles to participate in community care by embodying mutual aid values: community thriving, resource reallocation and solidarity. Thus, this paper puts forth mutual aid as a potential framework for understanding radical mobility practices to foster community care.
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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 | 0.003 | 0.000 |
| 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 | 0.000 |
| 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".