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Record W2187458886

Using Population Health Surveys to Measure the Use of Services and the Prevalence of Psychiatric and/or Behavioural Conditions in Individuals with an Intellectual Disability

2009· article· en· W2187458886 on OpenAlexaboutno aff
Iwona A. Bielska

Bibliographic record

VenueQSpace (Queen's University Library) · 2009
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychiatryMeasure (data warehouse)Intellectual disabilityPopulationPsychologyMedicineEnvironmental healthGerontology
DOInot available

Abstract

fetched live from OpenAlex

Background: Compared to the general population, individuals with intellectual disabilities have a higher prevalence of health problems, including psychiatric and/or behavioural conditions (dual diagnosis). Research suggests that the proportion of persons with intellectual disabilities who have a dual diagnosis ranges from 14 % to 64% depending on the population studied and the diagnostic criteria used. However, there is little population-based information in Canada about people with such a dual diagnosis. Objectives: The aims of this study were to estimate the prevalence of psychiatric or behavioural conditions among adults with an intellectual disability in Canada, and to estimate the use of mental health services among these individuals. Methods: This study was a secondary analysis of two cross-sectional, population-based

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)0.004
metaresearch head score (Gemma)0.009
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 score0.692
Threshold uncertainty score0.619

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.008
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.063
GPT teacher head0.297
Teacher spread0.234 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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