Integrating Cannabis Education into the Athletic Training Curriculum
Bibliographic record
Abstract
Context. Cannabis has become more prevalent in society and requires greater knowledge on the part of the athletic trainer. Objective. The purpose of this paper is to provide a framework for recognizing how cannabis education can be integrated into the athletic training curriculum utilizing the existing accreditation standards. Background. For decades the use of cannabis has been illegal. Athletes who were caught with cannabis in their system were penalized by their respective e sport organization body. During the past decade in the United States the federal government has moved toward decriminalization and expungement for those found with and arrested for cannabis possession and/or use. Furthermore, many states have maneuvered toward the legalization of marijuana for both medicinal and adult-use (recreational). The United States is not alone in this movement as other countries such as Canada, Israel, United Kingdom, and Australia have made changes toward their cannabis laws. Professional leagues such as Major League Baseball (MLB), the National Football League (NFL), and the NBA have shifted away from a punitive approach toward cannabis use and toward a health and wellness understanding. Additionally, the National Collegiate Athletic Association’s (NCAA) Competitive Safeguards and Medical Aspects of Sports Committee has recently announced its intentions to support removing cannabis from the banned drug list. While both acceptance and accessibility of cannabis products has increased, there remains a need to formally educate stakeholders. The cannabis plant is complex and has been associated with numerous proposed therapeutic benefits. There are also known risks and side effects that have been reported with cannabis use that range from cannabinoid hyperemesis syndrome to psychosis. Description. Example plans of action for cannabis curricular integration are provided and associated with respective CAATE standards. Educational Advantage. Athletic trainers must be at the forefront of cannabis knowledge to provide comprehensive and holistic patient care.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".