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Record W4225304304 · doi:10.3233/wor-210039

Occupational priorities and needs of blind and partially sighted people entering the labor market in Slovenia

2022· article· en· W4225304304 on OpenAlexaboutno aff
Andreja Švajger, Lea Šuc, Gaj Vidmar

Bibliographic record

VenueWork · 2022
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsVocational educationRehabilitationOccupational therapyPsychologyWork (physics)Scale (ratio)MedicineNursingPhysical therapyPsychiatryPedagogyGeography

Abstract

fetched live from OpenAlex

BACKGROUND: People with vision impairment are a growing group of clients for occupational therapists, particularly those working in vocational rehabilitation. OBJECTIVE: To examine the occupational priorities and performance issues of blind and partially sighted people entering vocational rehabilitation in Slovenia. Possible differences between priorities and issues among diagnostic groups and in relation to the rehabilitation outcome were explored. METHODS: Records of 42 clients referred to vocational rehabilitation at the University Rehabilitation Institute in Ljubljana between 2007 and 2019 were reviewed. Information on self-perceived occupational priorities and issues was obtained from the Canadian Occupational Performance Measure (COPM). RESULTS: Household and other unpaid work was identified the most frequently (20%) as a priority, followed by job-seeking (19%) and community mobility (15%). Job-seeking was the top performance issue (43%), followed by community mobility (21%) and household management (19%). On the 1-10 scale, the average occupational performance and satisfaction scores were 6.7 and 6.5, respectively; no statistically significant differences in relation to the diagnosis or the rehabilitation outcome were observed. CONCLUSION: The results highlight the client-identified occupational priorities and issues beside job-seeking that need to be considered in planning occupational therapy and supporting the persons with visual impairments entering the labor market.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.057
GPT teacher head0.408
Teacher spread0.351 · 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
Published2022
Admission routes1
Has abstractyes

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