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Record W1996486440 · doi:10.1080/10826080500318558

Prevalence and Predictors of “Heavy” Marijuana Use in a Canadian Youth Sample

2005· article· en· W1996486440 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

VenueSubstance Use & Misuse · 2005
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsResearch ManitobaUniversity of Victoria
Fundersnot available
KeywordsPersonalityPsychologyAddictionSample (material)Clinical psychologyCannabisPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

In this investigation, secondary analyses were performed on an extensive database for 473 biological and 128 adoptive families. These data, which were gathered as part of the Vancouver Family Survey, were used to examine the prevalence and predictors of "heavy" marijuana use in a Canadian youth sample aged 14-25. Results in this study showed that 12.6% of the sample reported using marijuana once a week or more. These respondents were categorized as "heavy" marijuana users. Higher levels of life problems were associated with this use pattern. Results from a series of regression analyses suggested that the family, personality, and peer domains all contributed significantly in predicting "heavy" marijuana use. Father's alcoholism and peer illicit drug use had direct relationships with heavy marijuana use in this final model. A possible mediated pathway was also suggested with the Addiction Prone Personality influencing use through its relationship with heavier peer drug use.

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)0.001
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 score0.438
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.278
Teacher spread0.247 · 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