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Record W2964647193 · doi:10.11575/jet.v51i3.68272

Autism Spectrum Disorder and the Implications For Higher Education: A Literature Review

2019· review· en· W2964647193 on OpenAlex
TC Waisman, Marlon Simmons

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUniversity of Calgary · 2019
Typereview
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAutismPsychologyHigher educationContext (archaeology)Autism spectrum disorderSpecial educationPedagogyDevelopmental psychologyMedical educationMedicinePolitical science

Abstract

fetched live from OpenAlex

This literature review focuses on the experiences of Autism Spectrum Disorder (ASD) students in higher education. We pay particular attention to how ASD students transition from high school into post-secondary education and what supports are beneficial to their educational careers. Our purpose is to understand how autistic students can experience greater success in higher education. Guiding questions for our review are: 1) What factors might contribute to how autistic students learn in the context of higher education? 2) How do autistic students experience post-secondary education? The literature was selected through various sources, including Proquest, Google Scholar, ERIC, eduCAT, and CLIO. Search terms guiding the review included: autistic, autism, high-functioning, student, higher education, college, policies, and leadership. Findings of the literature review point to transition plans; person-centred supports; and innovative leadership, policies, and actions as factors that contribute to ASD students’ learning in higher education.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.040
GPT teacher head0.345
Teacher spread0.305 · 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