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Record W7139203806

Factors Affecting the Recommended Accommodations in Psychoeducational Assessment Reports of High School Students

2025· dissertation· W7139203806 on OpenAlex

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

VenueTSpace (University of Toronto) · 2025
Typedissertation
Language
FieldPsychology
TopicPsychological Testing and Assessment
Canadian institutionsFields Institute for Research in Mathematical Sciences
Fundersnot available
KeywordsCognitionQualitative researchCognitive appraisalLearning disabilitySchool psychologyData collection
DOInot available

Abstract

fetched live from OpenAlex

This case study aimed to identify the factors affecting psychologists’ recommended accommodations in psychoeducational assessment reports of high school students. Through questionnaires and in-depth interviews with five psychologists, four main themes were identified: Different Conceptual Beliefs About Disability and Accommodations, Equity Considerations, The Desire To Be Helpful, and Lack of Formal Training and Access to Research on Academic Accommodations.This study suggests that psychologists may need to re-examine their beliefs regarding accommodations, that what is considered ‘helpful’ for a student may not necessarily be so, and that some accommodations may be recommended partially due to cognitive errors. Implications for practice include self-reflection guiding questions for psychologists to use when writing up psychoeducational assessment reports, considerations for supervision, suggestions for sources of evidence-based information, and a potential re-consideration of the traditional Medical Model within psychology.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.124
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.000

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 head0.066
GPT teacher head0.419
Teacher spread0.353 · 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