The Effect of Frequent Cannabis Use on the Main Components of Executive Functioning
Bibliographic record
Abstract
The legalization of recreational cannabis use in Canada has raised many questions regarding its immediate and sustained effect on performance of various critical daily tasks (e.g., driving). To investigate the sustained effect, we created an online battery of tasks that assess the main components of executive functioning that are involved in all aspects of daily activities. The performance of healthy, young frequent cannabis users, infrequent users, and non-users was compared. Selective visual attention, response inhibition, visuospatial working memory, and cognitive flexibility and set shifting ability was analyzed. No meaningful differences in performance were found on any of the measures of executive functioning components between frequent users, infrequent users, and non-users. Additionally, secondary analyses in frequent users on the effect of sex, last occasion of cannabis use, age of cannabis-use onset, length of cannabis use (years), and reason for cannabis use (medical or recreational) on executive functioning performance are also reported.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".