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Which Skills Do Students with Intellectual Disabilities Need for Pursuing Leisure Activities After Graduation? A Survey among Vocational Rehabilitation Practitioners in Japan

2024· article· en· W4402660257 on OpenAlexvenueno aff
Yukiya Yamada, Kazuaki Maebara

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsGraduation (instrument)Vocational educationMedical educationVocational rehabilitationPsychologyLeisure timeRehabilitationIntellectual disabilityPedagogyMedicinePsychiatryPhysical medicine and rehabilitationEngineering

Abstract

fetched live from OpenAlex

Background: Leisure activities contribute to the quality of life and continuation of employment for individuals with disabilities. However, education related to leisure activities is inadequate in special needs schools in Japan. Purpose: This study aimed to clarify which components of leisure guidance are considered important by vocational rehabilitation practitioners in Japan. Methods: An online survey was conducted in 337 branches of the Support Center for Employment and Livelihood of Persons with Disabilities in Japan. Results: Employment support practitioners recognized the importance of teaching students how to use their leisure time outside of working hours and helping them cultivate skills necessary to engage in leisure activities, regardless of whether they were still in school or had already graduated. In school, importance was placed on providing activities aimed at expanding leisure opportunities after graduation. For the period after graduation, the emphasis shifted to acquiring specific abilities necessary for engaging in leisure activities with other people, such as money management and securing means of transportation. Conclusion: This study provides a direction for optimizing the quality of leisure guidance for individuals with special needs. The findings can help improve teaching practices in special needs schools and enhance the effectiveness of transition support for students with disabilities.

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)0.003
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.034
GPT teacher head0.363
Teacher spread0.329 · 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
Published2024
Admission routes1
Has abstractyes

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