Knowledge of Northern Ontario School of Medicine students on the subject of fetal alcohol spectrum disorder
Bibliographic record
Abstract
Canadian physicians report feeling unprepared regarding the diagnosis and treatment Fetal Alcohol Spectrum Disorder (FASD). This thesis investigates the knowledge that future healthcare practitioners gain during their time at the Northern Ontario School of Medicine (NOSM), as well as the advice they would give to women regarding the use of alcohol during pregnancy. This two-phased mixed methods study included two surveys (N=24), and a semistructured interview (N=8). Results indicate that NOSM students are unaware of the specifics of FASD and are not confident in their knowledge on the subject. Barriers to learning were identified as: (1) inconsistencies between student educational experiences; and (2) the overwhelming nature of medical education. Solutions involving enhanced opportunity for exposure, supporting experience through formal curriculum, and attaining knowledge from different sources are proposed. Through improving medical education, future physicians will be better prepared to care for individuals with FASD, thereby improving support for these individuals.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".