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Employability Social Skills Interventions in Transition-Age Youth with Intellectual Disabilities: A Literature Review

2021· review· en· W4200177088 on OpenAlexvenueno aff
Eleni Laskaraki, Anastasia Alevriadou, Eleni Rachanioti

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2021
Typereview
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsEmployabilityPsychological interventionPsychologyIntervention (counseling)Social skillsLife skillsFace (sociological concept)Medical educationDevelopmental psychologyApplied psychologyPedagogyMedicineSociologySocial sciencePsychiatry

Abstract

fetched live from OpenAlex

Employability skills are necessary for youth with Intellectual Disabilities (IDs) to successfully navigate their transition from educational settings to autonomous adult life. Most importantly, research evidence has shown that individuals with IDs appear to perform adequately on job tasks, yet they frequently face inadequacies in the social aspects of work life. Although much of the existing employability research has focused on social skills training related to employability for individuals with other disabilities, people with IDs are underrepresented in the literature. Thus, this review aimed to provide insight into the existing social skills interventions that promote employability in transition-age youth with IDs. Results indicated that although there is a limited number of studies regarding intervention programs on improving social skills related to employment for individuals with IDs, the majority of them positively impacted target behaviors, thus highlighting the need for further empirical research.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.732
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.126
GPT teacher head0.416
Teacher spread0.290 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

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