Evaluating the effectiveness of knowledge brokering in health research: a systematised review with some bibliometric information
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to identify the effectiveness of knowledge brokering as a knowledge translation (KT) strategy used in promoting evidence-based decision-making, evidence-based practice or collaboration between researchers, health practitioners and policymakers. METHODS: A systematised review of literature was performed using MEDLINE (through ProQuest Dialog), PubMed and Scopus electronic databases. A search strategy was developed to identify primary studies indexed in these databases on knowledge translation that reported the implementation of knowledge brokering. Sixty-two titles related to knowledge brokering were identified from the search after the removal of duplicates, and 24 articles met the eligibility criteria following the review of the full text documents. The findings were then synthesised using a narrative approach. RESULTS: It was found that knowledge brokering has been an effective strategy for knowledge translation. CONCLUSION: Although this review shows that knowledge brokering has been an effective strategy for KT, it advocates for more empirical studies to compare the effectiveness of specific knowledge brokering approaches with others. It also calls for empirical studies to explicate the role of library and information science professionals in knowledge brokering.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | MetaresearchBibliometrics Domain: Evaluation · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | low |
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 | 0.150 | 0.415 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.012 | 0.011 |
| Bibliometrics | 0.119 | 0.107 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".