Youth participatory research evidence to inform health policy: a systematic review protocol
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
INTRODUCTION: Young people's participation in health research produces knowledge that is indispensable for creating appropriate and effective policies. However, how best to disseminate youth participatory research evidence to impact health policy is not known. Therefore, the objectives of this systematic review are to describe the evidence produced through youth participatory research, including the strategies used to disseminate youth participatory research evidence to health policymakers. These are necessary to improve policymakers' use of youth participatory research evidence and, thereby, make programmes more impactful for young people. METHODS AND ANALYSIS: The meta-narrative methodology will guide the systematic review to highlight the contrasting and complementary evidence on the use of engaging youth in research to affect health policymaking. Relevant studies will be identified by searching electronic databases, including but not limited to EBSCO, PROQUEST, OVID Medline, Sociological Abstracts and Google Scholar from inception to December 2020. The methodological quality of included quantitative, qualitative and mixed-methods research studies will be assessed using valid appraisal tools. The meta-narrative approach to analysis will include identifying meta-narratives of how youth participation informed the health research findings. ETHICS AND DISSEMINATION: An advisory group of young people will advise on the study and dissemination of the findings. As part of our plan for active dissemination, we will produce a policy brief that builds the rationale for using research with and by youth as part of an evidence base necessary for achieving youth health outcomes.
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 | 0.167 | 0.202 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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