Informed Cannabis Policies on Canadian Campuses: Toward the Protection of Youth and Young Adults
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
Introduction: The legalization of cannabis across Canada in October 2018 introduced issues including regulation at different levels, public and individual education, and discussions about cannabis product safety. We aimed to discuss ineffective and effective cannabis use policy on campuses and associated public areas, given the known short-term and long-term effects pertaining to its neurologic, pulmonary, and purported medicinal effects. Cannabis interferes with many of the body’s basic and executive (higher-level) functions. It is also associated with long-term harmful effects when chronically used. The purpose of this paper is to review and further discuss the responsibility local governments and educational institutions have for creating policies and regulations around cannabis use, particularly within post-secondary institutions, and for implementing educational strategies to promote public knowledge of cannabis. Methods: Peer-reviewed articles published in the last 10 years were searched for through the MEDLINE database. In addition, national and local health-related websites discussing cannabis policies were reviewed and collated. Expert opinions were also sought out to provide further information and resources. Results: 31 peer-reviewed articles and 12 professional websites were retrieved and reviewed. Correspondences with individual experts aware of and involved with campus cannabis policies also provided relevant resources and data used in this document. Conclusion: Smoke-free campus policies create the best health outcomes for the campus population. As well, creating effective and properly regulated policies and prioritizing public education is pertinent especially on universities where the population demographic is relatively young.
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 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 | 0.000 | 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 | 0.000 |
| 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