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Record W2152892628 · doi:10.1177/0829573507312051

Investigating the Quality of Learning Disability Documentation Provided by Students in Higher Education

2008· article· en· W2152892628 on OpenAlexaffabout
Allyson G. Harrison, Eva Nichols, Anne-Claire Larochette

Bibliographic record

VenueCanadian Journal of School Psychology · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsQueen's University
Fundersnot available
KeywordsDocumentationPsychologyMedical educationLearning disabilityQuality (philosophy)Inclusion (mineral)Special educationMedicineMathematics educationPsychiatrySocial psychologyComputer science

Abstract

fetched live from OpenAlex

Students with specific learning disabilities (LDs) must present documentation of their disability to receive academic supports and services at the postsecondary level. The purpose of this study is to examine the quality of disability documentation being provided by students entering postsecondary education in a Canadian setting and, in doing so, to better evaluate the quality of diagnostic protocols in elementary and secondary school. Disability documentation provided by 247 students applying to receive academic supports was examined at three postsecondary institutions in Ontario. Results indicate that only half of students provided documentation including a psychological report, with the remainder providing either no documentation or school-based identification protocols. Most documentation was incomplete and did not include a clear diagnostic statement, indicating problems with the disability documentation provided by students with LDs in Ontario. Recommendations for improvement of documentation and diagnostic practices at the elementary and secondary schooling levels are discussed.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.128
GPT teacher head0.465
Teacher spread0.337 · 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

Citations35
Published2008
Admission routes2
Has abstractyes

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