The effect size and nonlinearity of the relationship between cannabis consumption and consumer self‐perceived mental health: A study based on eight national surveys in <scp>Canada</scp>
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.
Bibliographic record
Abstract
Abstract Previous research suggests a negative association between cannabis consumption and consumer mental health, but the magnitude and linearity of this association require further investigation. Therefore, this study analyzed eight suitable national survey datasets from Statistics Canada from 2009 to 2021. In the general population, the mean effect size between cannabis use (yes/no) and self‐perceived mental health is negative but very small in magnitude ( = −0.096). Moreover, in the cannabis user sub‐population, the mean effect size between cannabis usage frequency and mental health is small in magnitude ( = −0.157). More importantly, among cannabis users, a nonlinear negative relationship between cannabis use frequency and mental health was identified. Specifically, as cannabis use becomes more frequent and people's self‐perceived mental health worsens, the association becomes stronger. These findings have significant implications for social marketing and health promotion.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it