Predicting Performance in Canadian Dental Schools: The New CDA Structured Interview, a New Personality Assessment, and the DAT
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Using a sample of dental students (N=373) from four Canadian dental schools, this longitudinal study determined whether the new Canadian Dental Association (CDA) structured interview was a predictor of clinical and academic performance. The new interview predicted clinical performance in the third and fourth years of dental school, but not academic performance. The Canadian Dental Aptitude Test (DAT) continued to predict first- and second-year academic performance, but not clinical performance in the senior years. A personality factor, "Conscientiousness," predicted clinical and academic performance to various degrees across the four years of dental school. A second personality factor, "Openness to Experience," predicted third-year academic performance. The results suggest that a combination of scores from the DAT, a valid measure of personality, and a well-designed structured interview will provide the best prediction of those applicants who will do well in both the academic and clinical aspects of dental school.
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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 | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it