Using an integrated knowledge translation or other research partnership approach in trainee-led research: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Collaborative research approaches, such as co-production, co-design, engaged scholarship and integrated knowledge translation (IKT), aim to bridge the evidence to practice and policy gap. There are multiple benefits of collaborative research approaches, but studies report many challenges with establishing and maintaining research partnerships. Researchers often do not have the opportunity to learn how to build collaborative relationships, and most graduate students do not receive formal training in research partnerships. We are unlikely to make meaningful progress in strengthening graduate and postgraduate training on working collaboratively with the health system until we have a better understanding of how students are currently engaging in research partnership approaches. In response, this scoping review aims to map and characterise the evidence related to using an IKT or other research partnership approach from the perspective of health research trainees. METHODS AND ANALYSIS: We will employ methods described by the Joanna Briggs Institute and Arksey and O'Malley's framework for conducting scoping reviews. The reporting will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for scoping reviews checklist. We will include both published and unpublished grey literature and search the following databases: MEDLINE, Embase, CINAHL, PsycINFO, ProQuest Dissertations & Theses Global databases, Google Scholar and websites from professional bodies and other organisations. Two reviewers will independently screen the articles and extract data using a standardised data collection form. We will narratively describe quantitative data and conduct a thematic analysis of qualitative data. We will map the IKT and other research partnership activities onto the Knowledge to Action cycle and IAP2 Levels of Engagement Framework. ETHICS AND DISSEMINATION: No ethical approval is required for this study. We will share the results in a peer-reviewed, open access publication, conference presentation and stakeholder communications.
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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 | 0.282 | 0.249 |
| Meta-epidemiology (narrow) | 0.006 | 0.007 |
| Meta-epidemiology (broad) | 0.012 | 0.013 |
| Bibliometrics | 0.024 | 0.023 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.007 | 0.010 |
| Research integrity | 0.014 | 0.011 |
| Insufficient payload (model declined to judge) | 0.064 | 0.024 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".