A Truly Accessible Public Transportation System for Toronto: \nA User-Centric Approach to Accessibility
Bibliographic record
Abstract
This research investigates ways to create a truly accessible public Transportation system to Torontonians facing mobility constraints. \n \nA Three Horizons approach, in combination with systems thinking and human centric design, is used for the analysis. Starting from an assessment of the current users’ experience, I propose that a truly accessible system should offer inclusive services, enable spontaneity, be perceived as accessible by the population it is designed to serve, and be an integral part of an accessible urban system. \n \nI then assess current trends that may impact the future of accessibility in Toronto and, building on some of these trends, recommend a shift away from mode8based solutions developed for the average, static, inexistent individual, towards multi modal solutions for citizens whose needs are continuously evolving, in order to achieve true accessibility in a 10 year time-frame. \n \nWhile my focus is on Boomers facing permanent mobility constraints, the findings may be generalized to other demographic groups and disabilities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".