Bibliographic record
Abstract
This presentation will discuss the impact of certain health conditions on universal transportation which, because of their increase in incidence and their nature, may have far-reaching implications for transportation service providers, accessible transportation services, and universal and inclusive equipment design. The presentation presents a new approach to disability analysis that the Canadian Transportation Agency has developed and applied in addressing some of these emerging health conditions in an accessible transportation context, including a recent practical application of this approach to a health condition that is becoming increasingly prevalent in industrialized countries. This new approach to disability analysis has broad application in areas of social policy setting, to transportation service providers in their service design and delivery, and to regulators tasked with administering accessible transport mandates. Before dealing with the core of the presentation, the author describes the agency and its accessibility mandate. The Agency is an independent, quasi-judicial, administrative tribunal and an economic regulator which administers Canadian government transportation legislation and policies to help achieve an efficient and accessible transportation system. The Agency's responsibilities include issuing licenses to air carriers and railways, and resolving disputes over various air, rail and marine transportation rates and service matters. The agency also participates in the negotiation of air transport agreements and, as the designated aeronautical authority for Canada, is responsible for administering the provisions related to air licensing and economic regulation. Finally, in keeping with Canada's national transportation policy to ensure that the federal transportation network is, amongst other things, accessible to persons with disabilities, the Agency also has power to remove undue obstacles to the mobility of persons with disabilities so far as practicable.
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.
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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.048 |
| Scholarly communication | 0.018 | 0.026 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.030 | 0.002 |
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".