The Network of Scholars Strategy: A Case Study of Embedded Research Activities in Nova Scotia to Advance Health System Impact and Outcomes
Bibliographic record
Abstract
The Canadian Institutes of Health Research -Institute of Health Services and Policy Research's (IHSPR's) Strategic Plan 2021-2026 for accelerating health system transformation is well positioned to meet the strategic priorities being outlined by many health systems in Canada and internationally (CIHR IHSPR 2021).The IHSPR Health System Impact Fellow program has been a strong influence on the embedded research and scientist program in Nova Scotia, namely, the Network of Scholars Program, which was implemented just before the pandemic.The network includes scientists and scholars from diverse academic backgrounds and skill levels including alumni of the Health System Impact Fellow program.The Network of Scholars has over 30 scholars and approximately 100 academic partners and scientists supporting embedded activities such as rapid reviews, implementation science and rapid evaluation initiatives.These embedded activities are front facing to the needs and priorities of the health system.This commentary highlights the importance of IHSPR's outlined strategic plan and direction, which are consistent with the experience and the needs for embedded supports within the Nova Scotia health system. RÉSUMÉLe Plan stratégique 2021-2026 de l'Institut des services et des politiques de la santé (ISPS) des Instituts de recherche en santé du Canada pour accélérer la transformation du système de santé répond aux priorités stratégiques définies dans de nombreux •
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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 | 0.014 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.029 | 0.015 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.005 | 0.006 |
| 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".