Family medicine residents' knowledge of, attitudes toward, and clinical practices related to environmental health: Multi-program survey.
Bibliographic record
Abstract
OBJECTIVE: To assess family medicine residents' knowledge of, attitudes toward, and clinical practices related to environmental health (EH). DESIGN: Two-part study with questionnaire construction using a modified Delphi method, and a Web-based questionnaire administered to family medicine residents between November 2015 and January 2016. SETTING: All Canadian family medicine programs (for questionnaire construction) and 4 Ontario family medicine training programs (for questionnaire administration). PARTICIPANTS: First- to third-year family medicine residents (for questionnaire administration). MAIN OUTCOME MEASURES: Responses to 93 survey items that measured family medicine residents' knowledge of, attitudes toward, and clinical practices related to EH. RESULTS: < .01). CONCLUSION: Although family medicine residents are aware of the importance of assessing patients' environmental exposures, they lack training and mentorship in EH. As a health determinant of critical importance, EH should be a high priority for inclusion in postgraduate family medicine 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".