The Canadian Core Cariology Curriculum: Outcomes of a national symposium
Bibliographic record
Abstract
Despite the efforts that have been made in dental education and clinical practice to adopt the evidence-informed, risk-based, nonsurgical caries management approach, the surgical treatment approach continues to prevail. There is an urgent need to understand resistance to such a paradigm shift and establish a coordinated evidence-based Cariology teaching approach in Canadian dental schools so trainees are equipped to implement caries management in their practice. To work towards this goal, a two-day interinstitutional symposium was organized in Montreal, QC, bringing together clinical and research experts in cariology and dental education from all 10 Canadian dental schools to develop a consensus on an evidence-informed Core Cariology Curriculum, and strategies for its implementation. Through consensus, participants produced the Core Cariology Curriculum for Canadian dental schools and articulated the challenges and solutions for its implementation. Future work will include working collaboratively on the curriculum integration and evaluation.
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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 | 0.014 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".