Capacity building and mentorship among pan-Canadian early career researchers in community-based primary health care
Bibliographic record
Abstract
AIM: To describe activities and outcomes of a cross-team capacity building strategy that took place over a five-year funding period within the broader context of 12 community-based primary health care (CBPHC) teams. BACKGROUND: In 2013, the Canadian Institutes of Health Research funded 12 CBPHC Teams (12-Teams) to conduct innovative cross-jurisdictional research to improve the delivery of high-quality CBPHC to Canadians. This signature initiative also aimed to enhance CBPHC research capacity among an interdisciplinary group of trainees, facilitated by a collaboration between a capacity building committee led by senior researchers and a trainee-led working group. METHODS: After the committee and working group were established, capacity building activities were organized based on needs and interests identified by trainees of the CBPHC Teams. This paper presents a summary of the activities accomplished, as well as the outcomes reported through an online semistructured survey completed by the trainees toward the end of the five-year funding period. This survey was designed to capture the capacity building and mentorship activities that trainees either had experienced or would like to experience in the future. Descriptive and thematic analyses were conducted based on survey responses, and these findings were compared with the existing core competencies in the literature. FINDINGS: Since 2013, nine webinars and three online workshops were hosted by trainees and senior researchers, respectively. Many of the CBPHC Teams provided exposure for trainees to innovative methods, CBPHC content, and showcased trainee research. A total of 27 trainees from 10 of the 12-Teams responded to the survey (41.5%). Trainees identified key areas of benefit from their involvement in this initiative: skills training, networking opportunities, and academic productivity. Trainees identified gaps in research and professional skill development, indicating areas for further improvement in capacity building programs, particularly for trainees to play a more active role in their education and preparation.
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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 | 0.028 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".