Contested streets : a case study approach to understanding bicycle and car politics in Toronto, Canada
Bibliographic record
Abstract
Using qualitative interviews, this thesis examines bicycle and car politics in Toronto, Canada to understand: i) how automobility affects those engaged in contesting and supporting cycling initiatives; ii) why the installation of cycling infrastructure has been politicized; and iii) whether strategies used by cycling activists are effective. The paper concludes that contemporary cultural and economic values surrounding automobility are visible in those engaged in bicycle and car politics. Findings suggest that the politicization of efforts to install cycling infrastructure arise due to how these values manifest themselves in the political realm, and the interrelationship between a lack of coherent transportation policy, the institutionalization of automobiles in planning and a ward-based decision-making system that entrenches suburban and urban biases. Activist strategies could be more effective by moving away from a focus on cycling lanes to address cultural norms associated with automobiles and bicycles and by focusing on a ‘complete streets’ approach.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.037 | 0.016 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".