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Record W4407088593 · doi:10.3828/tpr.2024.58

Understanding accessibility and disability in the planning profession: an examination of planners’ knowledge and practices

2025· article· en· W4407088593 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTown Planning Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalUniversity of TorontoToronto Metropolitan University
Fundersnot available
KeywordsMedical educationPublic relationsSociologyPsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

Disability discrimination has been prohibited in Canada for decades, yet people with disabilities continue to experience inaccessible built environments. Canada’s most populous province – Ontario – has well-developed accessibility legislation but was recently evaluated to be in a ‘crisis state’ after 20 years of implementation. Planners have profound influence on built environments, thus we ask planners about their attitudes, perceptions and knowledge of accessibility and disability through interviews. We find limited understanding of accessibility and disability (in terms of definitions, legislation and policy), limited experience engaging with people with disabilities in their work/workplaces, and limited educational training. Importantly, planners were eager to learn more to enhance their practice. Offering insight into the status of the profession, we conclude with six actions to help planning bodies and practitioners advance more just communities. This article was published open access under a CC BY-NC-ND licence: https://creativecommons.org/licences/by-nc-nd/4.0 .

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.289
GPT teacher head0.512
Teacher spread0.224 · 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