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Record W4394882162 · doi:10.1080/17450101.2024.2316111

Enunciating outrage: Sidewalk mobility injustice and activism

2024· article· en· W4394882162 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMobilities · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsOutrageInjusticeSociologySocial movementAestheticsCriminologyPsychologyGender studiesSocial psychologyPolitical scienceMedia studiesLawArtPolitics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.027
GPT teacher head0.332
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it