MétaCan
Menu
Back to cohort
Record W3035881154 · doi:10.24908/iqurcp.14065

Do Canadian Youth Use Alcohol and Cannabis as Compliments or as Substitutes?

2020· article· en· W3035881154 on OpenAlexvenueaboutno aff
Ian Goodall-Halliwell

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2020
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
Fundersnot available
KeywordsCannabisLegalizationRecreationMedicineEnvironmental healthPoison controlAlcoholHuman factors and ergonomicsInjury preventionPsychiatryPolitical science

Abstract

fetched live from OpenAlex

It remains unclear as to whether cannabis and alcohol are used as substitutes or complements by Canadian adolescents. Since co-use of these two drugs can have a high economic and personal cost, and because of the recent legalization of recreational cannabis, it is essential to determine whether adolescents are using these drugs as compliments or substitutes. Using data from the Canadian Institute for Health Information’s National Ambulatory Care Reporting System, a quasi-experimental design was created to track hospital admissions marked with either alcohol or cannabis-related codes around the minimum legal drinking age (MLDA). There was a strong increase in alcohol admissions and a weak decrease in cannabis admissions after the MLDA. This is indicative of a weak substitution effect between cannabis and alcohol. The findings of this study mimic those of similar quasi-experimental studies done in the United States, but there is now a need to apply the same quasi-experimental design in the more liberal Canadian cannabis environment.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.050
Threshold uncertainty score0.359

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.220
GPT teacher head0.404
Teacher spread0.184 · 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
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueInquiry Queen s Undergraduate Research Conference ProceedingsSame topicCannabis and Cannabinoid ResearchFrench-language works237,207