NL360+: A Multisource Feedback & Peer-Coaching Pilot Program: Final Evaluation Report
Bibliographic record
Abstract
In November 2018, the Office of Professional & Educational Development (OPED), Faculty of Medicine, Memorial University received an unrestricted educational grant from the College of Physicians and Surgeons of Newfoundland and Labrador (CPSNL) to design, develop, pilot, and evaluate a Quality Improvement (QI) program for Newfoundland and Labrador (NL) physicians - NL360+: A Multisource Feedback & Peer-Coaching Pilot Program. The purpose of this program was to provide physicians in the province with a voluntary opportunity to participate in, and evaluate, a pilot multisource feedback and peer-coaching experience. The initial timeline for completion of pilot program delivery and evaluation was December 2020. However, the COVID-19 public health emergency caused significant delays in the matching of participants and peer-coaches and subsequently, the coaching sessions. The process continued to move forward and a preliminary evaluation report was submitted to the CPSNL in December 2020. The NL360+ pilot program closed in June 2021.
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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 | 0.033 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".