Bibliographic record
Abstract
PROBLEM BEING ADDRESSED: As academic medical institutions being to address the education and service needs of rural Canadians, research will make its way to the foreground. Rural physicians are well positioned to lead in this venture, but often have little time or energy to take on extra duties. Rural populations differ in essential ways from urban populations. Certainly, the limitations of geography, funding, and population density alter medical surveillance, treatment, and research in ways that are largely undocumented. OBJECTIVE OF PROGRAM: To undertake research projects of interest to our group of rural clinicians and to expose medical students to both research and rural practice. MAIN COMPONENTS OF PROGRAM: Seven rural family physicians welcomed medical students into their group practice for summer research electives. Topics were chosen in advance by the medical group, and one member was designated as supervisor for each student. A local nurse educator also provided support to students and to clinicians after the students' departure. Several projects were undertaken simultaneously each summer; the result was several published peer-reviewed articles and good teaching and learning experiences. CONCLUSION: Rural research electives provide a valuable experience for students and preceptors. Such initiatives deserve broad promotion and support.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".