An In-Depth Analysis of Canadian Medical Students and Physicians Concussion Knowledge: A Cross-Sectional Study
Bibliographic record
Abstract
Background: Research has shown that concussion education in a proportion of Canadian medical school curriculums is lacking. The objective of this study was to measure concussion knowledge among medical trainees, while comparing the impact of lecture-based and clinical learning on their concussion knowledge scores. Methods: A validated concussion knowledge survey was distributed to MS1, MS2, MS3, and MS4 students, as well as post-graduate learners in family medicine, pediatrics, and emergency medicine. Results: Participants with clinical learning experience (MS3 + MS4 + Residents) scored significantly higher (p < 0.05) in the concussion knowledge test when compared to pre-clinical (MS1 + MS2) participants. 42.2% of participants learned about concussions from a lecture and 28.1% learned from a student organized interest group. Only 25% of participants correctly identified the red flags associated with a concussion. Conclusion: More emphasis should be placed on teaching concussion diagnosis and management in medical education.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".