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Record W7110953363 · doi:10.46827/ejse.v11i7.6399

IMPEDIMENTS TO EFFECTIVE VOCATIONAL TRAINING FOR LEARNERS WITH AUTISM SPECTRUM DISORDER IN NAIROBI COUNTY, KENYA

2025· article· en· W7110953363 on OpenAlexaff

Bibliographic record

VenueEuropean Journal of Special Education Research · 2025
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsEmployabilityVocational educationAutism spectrum disorderAutismPsychological interventionFace (sociological concept)

Abstract

fetched live from OpenAlex

Transitioning learners with Autism Spectrum Disorder into broader societal contexts involves preparing them for various aspects of adult life, including education, employment, and independent living. Research indicates that individuals with autism face barriers such as limited social skills, difficulties in communication, and a lack of access to tailored vocational training. The current study aimed at examining challenges faced by an elected vocational rehabilitation centre while preparing learners with ASD for transitioning to society in Nairobi City County, Kenya. The study employed a mixed-methods research design. Results revealed that learners faced a myriad of challenges, such as anxiety, stigma, social skills deficits, and communication barriers, emphasizing the need for targeted interventions and societal awareness programs to facilitate successful integration. Learners with autism require structured, individualized, and sensory-friendly training approaches to enhance their employability and independence.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0610/a.php" alt="Hit counter" /></p>

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)0.004
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.389
Teacher spread0.344 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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