A theory‐based model of translation practices in public health participatory research
Bibliographic record
Abstract
This article explores the innovative practices of actors specifically mandated to support interactions between academic researchers and their partners from the community during public health participatory research. Drawing on the concept of translation as developed in actor-network theory and found in the literature on knowledge transfer and the sociology of intermediate actors, we build a theory-based model of the translation practices developed by these actors at the interface between community and university. We refine this model by using it to analyse material from two focus groups comprising participants purposively selected because they work at the nexus between research and practice. Our model of translation practices includes cognitive (dealing with the contents of the research), strategic (geared to facilitating the research process and balancing power relationships among the partners) and logistic practices (the hands-on tasks of coordination). Combined, these three types of translation practices demonstrate that actors working at the interface in participatory research contribute to multidirectional exchanges and the co-construction of knowledge among research partners. Beyond the case of participatory research, theorising translation practices helps understand how knowledge is produced at the interface between academic and experiential (or lay) knowledge.
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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 | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | 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 | 0.055 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.008 | 0.041 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
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".