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Record W2906516089 · doi:10.32920/ryerson.14662575.v1

The Intersection Between Human Rights And Transportation: Accessibility To Transporatation For People With Disabilities

2021· preprint· en· W2906516089 on OpenAlexaffabout
Sean Turkenicz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicOlder Adults Driving Studies
Canadian institutionsUniversity of WindsorToronto Metropolitan University
Fundersnot available
KeywordsLegislationCharterHuman rightsIntersection (aeronautics)Political scienceCode (set theory)BusinessLaw and economicsPublic relationsPublic administrationSociologyLawEngineeringTransport engineeringComputer science

Abstract

fetched live from OpenAlex

The purpose of this paper is to provide an overview of the intersection between transportation and human rights and how this intersection has impacted the disabled community. First, the consequences of a lack of accessibility are examined. The sub-categories of social well-being, physical barriers, financial earnings and ability to obtain employment, and health are focused on. Second, Canadian and Ontario legislation and case law are reviewed to see how they respond to some of these consequences. These include the Canada Transportation Act, The Canadian Charter of Rights and Freedoms, The Canada Human Rights Code, The Ontario Human Rights Code, and Accessibility for Ontarians with Disabilities Act. After establishing that not enough has been done to reach as adequate resolution, solutions outside of legislation are explored. These solutions focus on universal design, citizen science, and autonomous vehicles.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.476
Threshold uncertainty score0.946

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0040.003
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.073
GPT teacher head0.422
Teacher spread0.349 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes2
Has abstractyes

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