Recommendations for Exploring the Impact of the Opioid Epidemic: A Proposed Management Framework
Bibliographic record
Abstract
It is imperative to prepare Business School Health Services Administration (HSAD) graduates with management tools to assess patient need and reduce barriers to care alongside clinicians. HSAD programs require interprofessional learning activities to shape competency and skill in community needs assessment. This HSAD program works collaboratively across the University community and with external partners to offer such an experience. Integrating this concept into the curriculum encourages graduates as early careerists to implement services and resources for patient need. Understanding that problems exists is a precursor to an economic valuation of such prevalent conditions as the dynamic opioid epidemic.
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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 | 0.045 | 0.098 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.007 |
| Bibliometrics | 0.014 | 0.007 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.016 | 0.020 |
| Open science | 0.015 | 0.014 |
| Research integrity | 0.023 | 0.017 |
| Insufficient payload (model declined to judge) | 0.028 | 0.006 |
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".