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Record W4415686685 · doi:10.47205/jdss.2025(6-iii)53

Accessibility Requirements for External Environment, Internal Environment, Building Accessibility and Emergency Egress Specifically for PWDs

2025· article· W4415686685 on OpenAlexaff

Bibliographic record

VenueJournal of Development and Social Sciences · 2025
Typearticle
Language
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsBarrie Urology Group
Fundersnot available
KeywordsGovernment (linguistics)Universal designPhysical accessPopulationKey (lock)Disabled people

Abstract

fetched live from OpenAlex

The current study aims to determine if government organizations in two Baluchistan cities were constructed in accordance with the approved building accessibility code, 2006, given the dearth of research on building accessibility for persons with disabilities (PWDs). A significant percentage of the population is made up of people with impairments, which hinders their ability to move around and utilize their surroundings. Until these people are able to move around and use their surroundings, full participation and equality cannot be attained. The current study is objective and is based on positivism approach. Data for this quantitative study, data was gathered using physical observation chechlist from 53 government organizations. The data was collected between July 2024–March 2025. Data analysis was done using Excel software. People with disabilities (PWDs) can access only 31% of government organizations overall. Approximately two-thirds of public institutions are inaccessible to people with disabilities due to inadequate infrastructure and services. Funding for projects pertaining to accessibility should be increased by the federal and provincial governments. Additionally, teaching key institutions on universal design principles is crucial for successful implementation of accessibility code.

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 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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.003
Scholarly communication0.0010.002
Open science0.0010.000
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 head0.093
GPT teacher head0.406
Teacher spread0.313 · 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 teacher head, not a consensus.

Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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