Public Transport in the Disabling City: A Narrative Ethnography of Dilemmas and Strategies of People with Mobility Disabilities
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.
Bibliographic record
Abstract
Access to transport is key to people’s movement in cities, their social participation, and personal development. People with mobility disabilities (PMDs) face additional barriers when using public transport. The objective of this study is to identify the dilemmas that PMDs face in their daily mobility practices and their coping strategies, in particular the ways in which these dilemmas and strategies are influenced by both personal and environmental characteristics. We conducted ethnographic research, utilizing narrative interviews, life stories, focus groups, and participant observations. Our aim was to analyse multiple experiences of mobility in situations of disability in Quebec City, Canada. This study engages the following research question: how do PMDs navigate their social environment, considering the impact of personal, social, and physical landscape factors on their mobility strategies? Depending on the accessibility of fixed-route public buses and the availability of public paratransit services, what are the dilemmas that PMDs face and how do they shape their mobility strategies? Using the three-dimensional model of narrative analysis, we present a narrative ethnography of participants’ dilemmas and strategies about their experiences on public transport. Five dilemmas are examined. Through this methodology, we propose to extend the study of “constellations of mobility” by including the notion of strategies as an experiential outcome between personal and physical landscape factors, practices, and meanings of mobility. This offers new research perspectives both in disability and mobility studies and in the understanding of urban accessibility experiences in situations of disability.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it