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Record W2159946432 · doi:10.1177/002221940103400407

Substance Use Disorders in Young Adults With and Without LD

2001· article· en· W2159946432 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

VenueJournal of Learning Disabilities · 2001
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoSickKids FoundationCentre for Addiction and Mental Health
Fundersnot available
KeywordsSubstance abusePsychiatryPsychologyYoung adultLearning disabilitySubstance useAge of onsetMultivariate analysisClinical psychologyMedicineDevelopmental psychologyInternal medicine

Abstract

fetched live from OpenAlex

This article reports on young people with and without learning disabilities (LD) and substance use disorders (SUD). Participants were assessed for LD at ages 12 and 19 and for SUD and psychiatric disorders at age 19. Participants with LD at ages 12 and 19 were more likely to develop an SUD or a psychiatric disorder compared to participants without consistent LD. Participants with LD at age 19 were more likely to have a concurrent SUD or psychiatric disorder compared to those without LD at age 19, while participants with LD at age 12 showed only a trend toward increased rates of SUD at age 19 when compared to participants without LD at age 12. Participants with and without LD did not differ in substance use, consumption levels, or onset history. In a multivariate model, adolescent LD was associated with a three-fold increased risk for SUD after behavioral problems and family structure had entered the model. Although these results provide some support for the notion that adolescents with LD are at increased risk for SUD, LD also appears to confer a general risk for adverse outcomes.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.009
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.016
GPT teacher head0.264
Teacher spread0.248 · 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