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Record W4387521023 · doi:10.1111/ldrp.12324

The Impact of Gender, Accommodations, and Disability on the Academic Performance of Canadian University Students with LD and/or ADHD

2023· article· en· W4387521023 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLearning Disabilities Research and Practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsMount Royal UniversityBow Valley College
Fundersnot available
KeywordsPsychologyAttention deficit hyperactivity disorderLearning disabilityAcademic achievementInclusion (mineral)Gender gapAccommodationClinical psychologyDevelopmental psychologyMedical educationSocial psychologyMedicine

Abstract

fetched live from OpenAlex

Academic accommodations for students experiencing disabilities are increasingly available at postsecondary institutions. More studies of the efficacy of accommodations for student success are warranted, however. Given the increased gender gap in university participation, more focus on the unique impact of gender is also needed. Using a sample of students registered with Access and Inclusion Services with learning disabilities (LD), attention–deficit/hyperactivity disorder (ADHD), and combined LD/ADHD at a Canadian undergraduate university ( N = 661), we explored the impact of gender on academic performance and accommodation usage. Next, we examined how gender intersected with the impact of academic accommodations on academic performance. Women, on average, demonstrated better academic performance. Academic strategies and assistive technologies were not associated with higher academic performance. However, testing accommodations (extended time and environmental accommodations) were positively associated with academic performance for men with LD or ADHD, but not for the combined group LD/ADHD. For the former two, the more tests accommodated, the higher the academic performance. Furthermore, this gender association was most prominent for students experiencing ADHD. Interpretations and policy recommendations related to these findings are presented.

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)0.007
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
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 head0.255
GPT teacher head0.487
Teacher spread0.232 · 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