Enunciating outrage: Sidewalk mobility injustice and activism
Bibliographic record
Abstract
This article focuses on winter pedestrian conditions and sidewalk clearing activism in the Canadian city of St. John’s where most sidewalks are left uncleared over its long winters. The study employs ethnographic methods, with a focus on participants’ autoethnographic accounts of navigating the city in winter and advocating for changes in snow clearing – accounts that also form the core of a documentary film directed by the authors. The findings demonstrate how uncleared sidewalks lead to an urban winter environment that is disabling, furthering existing mobility injustices produced by intersections between various forms of inequality and limited public or active transportation options. City residents enunciate their outrage about this situation through physical mobility practices such as walking in the middle of vehicle lanes and self-conscious critiques of everyday idioms about the ‘hardiness’ of residents. This study highlights the importance of taking seasonality into account when examining conditions for pedestrian mobilities.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.026 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".