Use and effectiveness of policy briefs as a knowledge transfer tool: a scoping review
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
Abstract There is a significant gap between researchers’ production of evidence and its use by policymakers. Several knowledge transfer strategies have emerged in the past years to promote the use of research. One of those strategies is the policy brief; a short document synthesizing the results of one or multiple studies. This scoping study aims to identify the use and effectiveness of policy briefs as a knowledge transfer strategy. Twenty-two empirical articles were identified, spanning 35 countries. Results show that policy briefs are considered generally useful, credible and easy to understand. The type of audience is an essential component to consider when writing a policy brief. Introducing a policy brief sooner rather than later might have a bigger impact since it is more effective in creating a belief rather than changing one. The credibility of the policy brief’s author is also a factor taken into consideration by decision-makers. Further research needs to be done to evaluate the various forms of uses of policy briefs by decision-makers.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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