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Record W606609640 · doi:10.5206/eei.v23i1.7702

Mild Intellectual Disability at the Postsecondary Level: Results of a Survey of Disability Service Offices

2014· article· en· W606609640 on OpenAlexaffvenueabout
Allyson G. Harrison, Alana Holmes

Bibliographic record

VenueExceptionality Education International · 2014
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsCambrian CollegeQueen's University
Fundersnot available
KeywordsDocumentationMedical educationPostsecondary educationConsistency (knowledge bases)Intellectual disabilityService (business)PsychologyIdentification (biology)Higher educationMedicineBusinessPsychiatryMarketingPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Disability Service Staff at colleges and universities in Ontario, Canada were sur-veyed regarding the number of students arriving at their offices with the label of mild intellectual disability. Information was obtained regarding criteria used in association with this label, documentation required to support the classification, and accommodations provided, as well as the types of programs in which these students enroll and their success in those programs. Results demonstrate little consistency across institutions regarding the criteria employed when making this identification, and the accommodations and supports provided. Even with sup-ports and accommodations, respondents estimated that fewer than 25% of such students are able to succeed at the postsecondary level, although a larger per-centage appear to benefit from specialized college programs. Best practice guidelines are needed with respect to assessment and diagnosis of this condition, and specialized programs may be required to address success and retention at the postsecondary level.

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)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.000

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 head0.129
GPT teacher head0.390
Teacher spread0.260 · 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

Citations10
Published2014
Admission routes3
Has abstractyes

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