Cannabis on campus: gateway to student health literacy for academic health science librarians
Bibliographic record
Abstract
Introduction: Effective July 1, 2018, the smoking of recreational cannabis will become legal in Canada, and Provincial legislation will soon follow. The objective of this paper is to determine how Canadian universities are responding to this new reality via provision of web-based education and awareness materials through campus health centres. The paper explores what framework might exist or be created to partner academic health sciences librarians with student health services in the provision of best practice research for students and clinicians. Method: A scan of English Canadian university websites was undertaken to determine whether information on cannabis or marijuana directed at students was available, and whether identifiable resources in the area of health science librarians or subject guides were available. Results: Results of a website scan indicated that only 10.4% of universities have material available on cannabis whereas some 62% have qualified professional librarians associated with health sciences who could provide guidance on such material. Discussion: Academic librarians and libraries already play a pivotal role in the retention and support of student academic goals through liaison, reference and instruction. There is precedent as well in some institutions for library partnerships with student services areas such as career services, accessibility and common book programs. This paper suggest that the complex factors related to cannabis education and health literacy in general present a unique opportunity for academic health science librarians to engage and partner with university health services and clinicians and grow the presence and influence of librarian support on university campuses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.060 | 0.007 |
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 source (direct Gemma or distilled Codex), 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".