Promising Practices: Triple M—A Coaching and Mentorship Program for Public Health Leadership Development
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Triple M (Mobilizing Meaningful Mentorship) program is a leadership development initiative at the public health branch of the Regional Municipality of York (York Region Public Health) that uses individual and team coaching and mentoring strategies. The Triple M program consists of one-on-one mentoring, stretch assignments, a Triple M challenge, team coaching and LEADS seminars. Triple M has the following benefits (a) organization-wide and cross-departmental connections, (b) application of leadership concepts and theory to a practical stretch assignment, (c) guidance and support from mentors to navigate challenges, and (d) the formation of the next generation of public health leaders. The lessons learned from this initiative include (a) that additional time is needed to apply program learnings during stretch assignments and (b) that adequate protected time is required to actively participate in the mentorship component of the program. The next steps for Triple M include (a) exploring ways to increase the duration of stretch assignments and (b) introducing an online platform to promote accessibility to participate in the program.
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.
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 | 0.016 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it