Research Mediation in Education: A Typology of Research Brokering Organizations That Exist Across Canada
Bibliographic record
Abstract
This paper explores the increasingly prominent role of research brokering organizations (RBOs) in strengthening connections between education research, policy and practice across Canada. This paper is organized in three sections. First, it provides a literature review of research mediation– exploring terminology, models and empirical work (albeit sparse) across health, business, education sectors. The second section provides three conceptual contributions to the field: RBOs’ roles in knowledge mobilization occurring in the white space of broader public service systems, a typology of Canadian RBOs that exist in education using four broad categories: governmental, not-for-profit, for-profit and membership RBOs, and a knowledge brokering framework along seven dimensions: mission, resources, staff roles, political affiliation, autonomy, message and linkages. The third section provides empirical data about the frequency and types of RBOs that exist across Canada. Cet article explore le rôle de plus en plus important que jouent les organismes de médiation de la recherche dans la consolidation des liens entre les politiques et la pratique en matière de recherche en éducation partout au Canada. L’article se divise en trois sections. D’abord, on y présente une revue de la littérature portant sur la médiation de la recherche et évoquant la terminologie, les modèles et le travail empirique (quoique limités) qui touchent les secteurs de la santé, des affaires et de l’éducation. La deuxième section contribue trois concepts au domaine : les rôles que jouent les organismes de médiation de la recherche dans la mobilisation des connaissances dans les « espaces vides » de la fonction publique en général; une typologie des organismes canadiens de médiation de la recherche en éducation selon quatre grandes catégories (gouvernemental, sans but lucratif, à but lucratif et composé de membres) et un cadre portant sur la médiation de la recherche et axé sur sept dimensions (mission, ressources, rôles du personnel, affiliation politique, autonomie, messages et liens). La troisième section offre des données empiriques sur la fréquence et les types d’organismes de médiation de la recherche qui existent au Canada.
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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 | 0.034 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.020 |
| Science and technology studies | 0.029 | 0.034 |
| Scholarly communication | 0.019 | 0.007 |
| Open science | 0.005 | 0.019 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".