Linkage and exchange at the organizational level: A model of collaboration between research and policy
Bibliographic record
Abstract
This paper describes an organization-level initiative designed to promote linkage and exchange between a research unit and the mental health policy branch of Ontario's provincial government. Using a framework that conceptualizes four tiers--inter-organizational relationship, interactive research projects, dissemination and policy formation--in the application of linkage and exchange to the research and policy development processes, we present an example in order to explore the issues that arise in each tier. We conclude that while such initiatives enhance the relevance of research in the policy development process, they also present challenges that must be recognized and managed.
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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 | 0.046 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.014 | 0.030 |
| Scholarly communication | 0.030 | 0.036 |
| Open science | 0.005 | 0.019 |
| Research integrity | 0.012 | 0.005 |
| 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".