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Record W7100910377

ACCESSIBLE TRANSPORTATION: CONSULTING THE EXPERTS CONSULTING THE EXPERTS: TOWARDS A MORE PASSENGER FRIENDLY ACCESSIBLE TRANSPORTATION SYSTEM By

2016· article· en· W7100910377 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicOlder Adults Driving Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPublic transportInclusion (mineral)LegislatureWork (physics)Disabled peopleEveryday lifeQualitative research
DOInot available

Abstract

fetched live from OpenAlex

ii Transportation is among the essential services that promote inclusion to everyday life for all citizens. Neither private nor public transportation systems provide fully adequate access for people with mobility limitations such as the elderly or people with disabilities. The historical exclusion from full participation in many activities of daily life experienced by people with disabilities is perpetuated by this lack of access to adequate transportation. Through a social lens and legislative backdrop, this study explored the challenges experienced by passengers of Accessible Transportation Services (ATS) in Hamilton, Ontario. This research was consistent with feminist methodology and was based upon a qualitative study of seven women with disabilities who are ATS passengers. The accounts of these passengers illuminated barriers, both practical and attitudinal, that they experienced in using accessible transportation. Managing these barriers required work on their parts, generated considerable stress and

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.306
Threshold uncertainty score0.607

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.002
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0280.004

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 head0.041
GPT teacher head0.377
Teacher spread0.335 · 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 designQualitative
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

Citations0
Published2016
Admission routes1
Has abstractyes

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