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Record W4312387392 · doi:10.7870/cjcmh-2022-033

An Examination of the Mental Health Status of Canadian Children and Youth with Disabilities

2022· article· en· W4312387392 on OpenAlexaffvenueabout
Roxy H. O’Rourke, Denver M. Y. Brown, Kathleen A. Martin Ginis, Kelly P. Arbour‐Nicitopoulos

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2022
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
Fundersnot available
KeywordsMental healthPsychological interventionPsychologyClinical psychologyPopulationPsychiatryMedicineEnvironmental health

Abstract

fetched live from OpenAlex

Children and youth with disabilities (CYD) are more likely to experience poor mental health compared to non-disabled peers. Disability type may impact mental health outcomes; however, a more comprehensive understanding of mental health outcomes in CYD with diverse disability types is needed. This study examined the mental health status of CYD. Parents of 473 CYD completed a survey including a measure of mental health indicators. Approximately 72% of the sample had above average total difficulties scores. Boys scored higher than girls on the hyperactivity subscale, and those with comorbid disabilities scored the highest on total difficulties. Overall, the results indicate CYD experience mental health challenges at rates well above population norms. Research exploring interventions that may buffer these effects is warranted.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.068
GPT teacher head0.353
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Community Mental HealthSame topicFamily and Disability Support ResearchFrench-language works237,207