An Evolving Community‐Based Dental Course on Professionalism and Community Service
Bibliographic record
Abstract
In 2007, the Faculty of Dentistry at the University of British Columbia formally introduced the course Professionalism and Community Service (PACS) in year one of its dental curriculum. PACS features community-based dental education as an experiential learning pedagogy, as well as additional themes that support the community experience. PACS will be incorporated into all four years of the curriculum, with health promotion activities in community sites as the focus in years one and two and the provision of patient care in community clinics in years three and four. Students are encouraged to provide feedback on this newly implemented course. The objective of this article is to provide an overview of the themes and modules of PACS, in the context of its being an evolving course for implementing community-based health promotion activities as experiential education for dental students. The current PACS modules are designed to expose students to a variety of experiences-from assessing community needs and developing, applying, and evaluating an educational health promotion activity to demonstrating a systematic approach to ethical reasoning and critical thinking. In their feedback, students have expressed their appreciation for the community experience and suggested modifications to the course in terms of guidelines and assignments.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".