Deliberative Dialogues Between Policy Makers and Researchers in Canada and Australia
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
Knowledge translation (KT) and implementation science are growing fields in Canada, Australia, and worldwide. Many audiences are targeted as KT knowledge users—policy makers represent one key knowledge user in the health care field. The need for policy makers to understand research and for researchers to understand policy processes is commonly recognized. There is also increasing interest in health policy that focuses on KT as a framework for understanding the use of evidence and, in particular, describing the influence of research on policy along with concepts of coproduction and user involvement. With relationship building central to successful evidence-informed policy, this article explores deliberative dialogue as a potential approach to enhancing KT. It describes two examples of researcher efforts to cultivate relationships and contacts with policy and decision makers via such dialogues and illustrates the inherent opportunities and challenges of doing so.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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