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Record W4381190000 · doi:10.16993/sjdr.954

Disability and Place of Living: Experiences of Disability, Accessibility, and Inequality in Four Regions of Myanmar

2023· article· en· W4381190000 on OpenAlexaff
Dilshan L. Fernando, Helani Galpaya, Gayani Hurulle, Catherine Mobley

Bibliographic record

VenueScandinavian Journal of Disability Research · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsContext (archaeology)AutonomyFocus groupCapital cityInequalitySocial capitalSocioeconomicsSociologyGeographyGender studiesPolitical scienceSocial science

Abstract

fetched live from OpenAlex

This paper aims to understand how the experiences of disability such as peoples’ sense of autonomy, their perceptions of day-to-day challenges, and access to public spaces, vary depending on the place they live, in the context of Myanmar. Informed by the social model of disability, we investigated how disabling experiences differ between those who live in Yangon, capital city of Myanmar, and peripheral areas, Mandalay, Ayeyarwady and Shan. We conducted focus group discussions and in-depth interviews with around 90 people with disabilities who had challenges in seeing, hearing, and physical disabilities like mobility to report the results. This paper finds that people with disabilities lead more independent lives, were better supported in carrying out day-to-day activities, and had more accessible services and spaces in Yangon than in peripheries. Two notable findings are: (1) accessibility is not just infrastructural, but also attitudinal, more enabling in Yangon than peripheries, and (2) people with disabilities who live in peripheries feel “home-incarcerated” due to infrastructural exclusions experienced in those areas.

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)0.023
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, 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 score0.109
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.029
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.174
GPT teacher head0.474
Teacher spread0.301 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

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