Discussing mentorship: An ongoing study for the development of a mentorship program in Saskatchewan.
Bibliographic record
Abstract
OBJECTIVE: To identify the essential components of a mentorship program as the first step in the ongoing development of a mentorship program for primary care physicians. DESIGN: Mixed-methods study. SETTING: Saskatchewan. PARTICIPANTS: Forty-nine of 170 physicians responded positively to a letter of invitation. Of these, 25 physicians were purposively sampled based on location, sex, and experience. Fourteen participants practised in urban areas and 11 in rural settings; 11 were men and 14 were women; and 10 were junior physicians and 15 were senior. Junior physicians were defined as those who had graduated from medical school after 1995, and senior physicians were those who had graduated before 1980. METHODS: This study employed qualitative, in-depth, semistructured interviews. Interview questions, based on an environmental scan, were developed then pilot-tested with a family physician. Interviews lasted approximately 60 minutes and were audiotaped. Digital audio files were transcribed verbatim and analyzed thematically. MAIN FINDINGS: Family physicians described positive and negative aspects of mentoring, or having a lack of experience with mentoring. They also outlined key components of a potential mentorship program: matching mentees with mentors; integrating formal and informal mentorship; and the evaluation process of the mentorship relationship and program. CONCLUSION: Based on the feedback from family physicians, mentorship is viewed as an important and meaningful program of action that regional health stakeholders and medical educators in Saskatchewan could implement. A pilot test of a mentorship program model will be the culmination of this study. Further research will be undertaken to evaluate the model once it is implemented. This will have important implications for establishing a national mentorship program for family physicians across the country.
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 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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".