Chronically Excluded? Public Toilet Access for Youth with Gastrointestinal Illnesses
Bibliographic record
Abstract
This thesis explores the intersection between public infrastructure, health and youth geographies, time geography, and sensuous and emotional embodiments to highlight public toilets as a critical yet often overlooked urban space. Through these intersections, this thesis not only spotlights public toilets as central nodes in everyday life, but also the differential ways these spaces impact populations who rely on them most for medical needs. Through a feminist methodological approach that employs semi-structured interviews and space-time diaries, this thesis asks: How do the daily mobility patterns of youth with chronic gastrointestinal illnesses depend on the spatial and temporal availability and accessibility of public and private toilet facilities? This thesis investigates the constraints to mobility and wellness that these individuals face when met with inadequate and inaccessible toilet infrastructure, with a case study in the Greater Toronto Area. Encompassing both suburbs and city centre, the research sample illustrates the infrastructural disparities between dense and sparse landscapes. From the ‘in-betweens’ from one toilet to the next, to the sensuous and emotional experiences felt within these spaces themselves, this research investigates how the everyday lifeworlds of chronically ill youth – through work, school, and play – can be enabled and disabled by the quality of infrastructure they are met with, and the coping mechanisms they employ to aid their journeys and experiences, attributing to overall wellness.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".