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Vocational Rehabilitation for Persons With Visual Impairment at the Community: A Case Study in Dong Da District, Hanoi City, Vietnam

2021· article· en· W3168616116 on OpenAlexvenueno aff
Trinh Van Tung, Nhung Thi Le, Bui Ngoc Ha, Hoai Thi Thu Nguyen

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicResearch studies in Vietnam
Canadian institutionsnot available
Fundersnot available
KeywordsVocational educationPsychosocialPovertyUnemploymentRehabilitationPsychologyWork (physics)Visual impairmentSocial workMedical educationApplied psychologyPolitical scienceEconomic growthMedicinePedagogyPsychiatryEngineering

Abstract

fetched live from OpenAlex

Work has been emphasized by the WHO, ILO, and UNESCO for years as to how individuals can escape poverty, secure the necessities and improve his/her economic and social status. In this sense, vocational rehabilitation is regarded as the means for persons with disabilities to access work. However, in the absence of either these programs or full respect for their right to work, they have been encountering different barriers in employment accessibility. This happens more seriously in developing countries, including Vietnam. Through mixed methods of desktop reviews, a survey with 110 persons with visual impairment in the community, and in-depth interviews with 10 key stakeholders, the article aims at briefing an overview on current situations of their employment as well as vocational rehabilitation services and support for occupations in Dong Da District, Hanoi City. Several key findings indicate that they have been coping with unemployment or low-tech and low-paid jobs. There is an intensive gap between needs and service supplies in physical, cognitive, and psychosocial components. In the community, available programs target supporting them in terms of physical aspects rather than cognitive and social components. Finally, the authors discuss more various vocational programs, capacity building to other potential providers, and awareness-raising.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.105
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.050
GPT teacher head0.351
Teacher spread0.302 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2021
Admission routes1
Has abstractyes

Explore more

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