Developing a Curriculum for Addressing the Opioid Crisis: A National Collaborative Process
Bibliographic record
Abstract
BACKGROUND: The burgeoning use of opioids and the lack of attention to the safe prescribing, storage, and disposal of these drugs remains a societal concern. Education plays a critical role in providing a comprehensive response to this crisis by closing the training gaps and empowering the next generation of physicians with the knowledge, skills, and resources needed to diagnose, treat and manage pain and substance use. Curricular Development: The Association of Faculties of Medicine of Canada (AFMC) developed a competency-based, bilingual curriculum for undergraduate medical students to be implemented in all Canadian medical schools. The authors describe the principles and framework for developing a national curriculum. The curriculum design process was situated in the Knowledge to Action theoretical framework. Throughout the development of this curriculum, different stakeholder groups were engaged, and their needs and contexts were considered. CONCLUSION: The curriculum ensures that consistent information is taught across all medical schools to educate future physicians on pain management, opioid stewardship and substance use disorder.
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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 | 0.001 | 0.001 |
| 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 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".