Life as a knowledge broker in public health
Bibliographic record
Abstract
Program objective – Knowledge brokers (KBs), like clinical librarians (CLs), are information professionals involved in the promotion of evidence-informed decision-making (EIDM). As with CLs, the impact of literature-evaluating KBs on the health sector is sparse, and there is limited consensus on their role. To provide guidance to information professionals and organizations regarding the KB role, this paper describes a typical “day in the life” of a KB in delivering a program to promote EIDM among Canadian public health professionals. Setting – The KB program was implemented in a randomized controlled trial evaluating knowledge transfer and exchange strategies. Participants – Public health managers at various levels within Canadian public health units or regional health authorities. Program – The KB identified decision makers’ (DMs) evidence needs; facilitated access to and use of high-quality evidence; assisted in decision making; and facilitated EIDM skill development. Results – The KB role, activities and related tasks, lessons learned, and challenges are described. Conclusion – Central themes included the importance of relationship development, ongoing support, customized approaches, and individual and organizational capacity development. The novelty of the KB role in public health provided a unique opportunity to assess the need for and reaction to the role and its associated activities.
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How this classification was reachedexpand
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 | 0.028 | 0.062 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".