MétaCan
Menu
Back to cohort
Record W4392499111 · doi:10.3390/buildings14030707

Accessibility of the Built Environment for People with Sensory Disabilities—Review Quality and Representation of Evidence

2024· article· en· W4392499111 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBuildings · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsMcMaster University
FundersAccessibility Standards CanadaCNIBRick Hansen Foundation
KeywordsUniversal designSensory systemQuality (philosophy)Assistive technologyRepresentation (politics)Human–computer interactionWeb accessibilityPsychologyBuilt environmentSensory cueComputer scienceApplied psychologyCognitive psychologyEngineeringWorld Wide WebPolitical science

Abstract

fetched live from OpenAlex

People with sensory disabilities constitute a significant portion of society whose accessibility needs must be prioritized in the design of the built environment. Sensory disabilities cause a gap in the environmental information received, most commonly visual and/or auditory cues, that requires consideration to create equal opportunities and experiences for all. This paper evaluates the quality and representation of existing research on accessibility for people with sensory disabilities, aiming to identify gaps and inconsistencies in current studies. By considering variations in disability type, degree of impairment, and assistive aid usage, we seek to enhance the development of inclusive accessibility standards. Through this analysis, we aim to provide actionable insights for future research and contribute to the creation of more equitable built environments for all individuals.

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)0.002
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 score0.010
Threshold uncertainty score0.621

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.159
GPT teacher head0.420
Teacher spread0.260 · 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