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Case Study on the Employment of a Person with Intellectual Disability in Childcare Work in Japan

2022· article· en· W4285490928 on OpenAlexvenueno aff
Kazuaki Maebara

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual disabilityWork (physics)PsychologyPerspective (graphical)Affect (linguistics)Child careMedical educationMedicineNursingPsychiatry

Abstract

fetched live from OpenAlex

Background: In recent years, it has become necessary to promote the employment of persons with intellectual disabilities in new occupations.
 Objective: This study aimed to analyze the case of a person with an intellectual disability employed in childcare work and examine it from the perspective of issues in securing employment for the disabled.
 Method: As a case study, an in-depth interview was conducted to survey a director of the Center for Early Childhood Education and Care, which had been hiring persons with intellectual disabilities and organizing the employment process for about four years.
 Results: The person with intellectual disability was assigned to perform direct support work, mainly childcare work, and was aided by staff members responsible for guidance and the verbalization of job instructions. In addition, the staff provided specific guidance for solving problems that occurred in daily life. The work could be carried out smoothly.
 Conclusion: While many people with intellectual disabilities are engaged in indirect support work, participating in direct support work, mainly childcare work, may positively affect their career development. Additionally, in focusing on the workplace, it is important to reconsider daily life issues from the viewpoint of long-term stability in the workplace and improve the methods used for transition support. The data were collected from a single case, which may limit the generalisability of the findings.

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)0.002
metaresearch head score (Gemma)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.099
GPT teacher head0.342
Teacher spread0.243 · 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 designQualitative
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

Citations5
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Intellectual Disability - Diagnosis and TreatmentSame topicDisability Education and EmploymentFrench-language works237,207