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Record W2030140469 · doi:10.1352/2009.114:52-60

Gender Differences in Psychiatric Diagnoses Among Inpatients With And Without Intellectual Disabilities

2009· article· en· W2030140469 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

VenueAmerican Journal on Intellectual and Developmental Disabilities · 2009
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversity of TorontoSurrey Place CentreCentre for Addiction and Mental Health
Fundersnot available
KeywordsIntellectual disabilityPsychiatryMoodMedical diagnosisSubstance abusePsychiatric diagnosisClinical psychologySexual abusePsychologyMood disordersMedicinePoison controlSuicide preventionAnxietySchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

There are few published studies on the relationship between gender and psychiatric disorders in individuals with intellectual disabilities. Adults (N = 1,971) with and without intellectual disabilities who received inpatient services for psychiatric diagnosis and clinical issues were examined. Among individuals with intellectual disabilities, women were more likely to have a diagnosis of mood disorder and sexual abuse history; men were more likely to have a substance abuse diagnosis, legal issues, and past destructive behavior. Gender difference patterns found for individuals with intellectual disabilities were similar to those of persons without intellectual disabilities, with the exception of eating disorder and psychotic disorder diagnoses. Gender issues should receive greater attention in intellectual disabilities inpatient care.

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)0.000
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.172
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.037
GPT teacher head0.292
Teacher spread0.255 · 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