Effective knowledge translation approaches and practices in Indigenous health research: a systematic review protocol
Bibliographic record
Abstract
Abstract Background Effective knowledge translation (KT) is critical to implementing program and policy changes that require shared understandings of knowledge systems, assumptions, and practices. Within mainstream research institutions and funding agencies, systemic and insidious inequities, privileges, and power relationships inhibit Indigenous peoplesâ control, input, and benefits over research. This systematic review will examine literature on KT initiatives in Indigenous health research to help identify wise and promising Indigenous KT practices and language in Canada and abroad. Methods Indexed databases including Aboriginal Health Abstract Database, Bibliography of Native North Americans, CINAHL, Circumpolar Health Bibliographic Database, Dissertation Abstracts, First Nations Periodical Index, Medline, National Indigenous Studies Portal, ProQuest Conference Papers Index, PsycInfo, Social Services Abstracts, Social Work Abstracts, and Web of Science will be searched. A comprehensive list of non-indexed and grey literature sources will also be searched. For inclusion, documents must be published in English; linked to Indigenous health and wellbeing; focused on Indigenous people; document KT goals, activities, and rationale; and include an evaluation of their KT strategy. Identified quantitative, qualitative, and mixed methodsâ studies that meet the inclusion criteria will then be appraised using a quality appraisal tool for research with Indigenous people. Studies that score 6 or higher on the quality appraisal tool will be included for analysis. Discussion This unique systematic review involves robust Indigenous community engagement strategies throughout the life of the project, starting with the development of the review protocol. The review is being guided by senior Indigenous researchers who will purposefully include literature sources characterized by Indigenous authorship, community engagement, and representation; screen and appraise sources that meet Indigenous health research principles; and discuss the project with the Indigenous Elders to further explore the hazards, wisdom, and processes of sharing knowledge in research contexts. The overall aim of this review is to provide the evidence and basis for recommendations on wise practices for KT terminology and research that improves Indigenous health and wellbeing and/or access to services, programs, or policies that will lead to improved health and wellbeing. Systematic review registration PROSPERO CRD42016049787 .
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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 | 0.220 | 0.186 |
| Meta-epidemiology (narrow) | 0.005 | 0.007 |
| Meta-epidemiology (broad) | 0.014 | 0.013 |
| Bibliometrics | 0.024 | 0.023 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.008 | 0.009 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.063 | 0.013 |
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".