Creating a new articulation between research and practice through policy? The views and experiences of researchers and practitioners
Bibliographic record
Abstract
OBJECTIVES: In 1990, the Quebec Social Research Council - a body financing social research in Quebec, Canada - launched a new policy encouraging the development of social research units within health care organizations. Through financial incentives, it encouraged the implementation of long-term collaborations between researchers and practitioners with the purpose of transforming both scientific knowledge production and professional practices. This paper examines the perceptions of researchers and practitioners regarding the attributes and the usefulness of this collaborative research policy. METHODS: A self-administered survey was sent to all the researchers (n = 146; response rate 78.1%) and practitioners (n = 204; response rate 44.1%) involved in the 21 collaborative research teams funded in 1998. T-tests were performed in order to assess the difference between the perceptions of researchers and practitioners in five key dimensions of collaborative research. RESULTS: The results showed that, contrary to expectations, researchers and practitioners shared fairly similar views regarding the various dimensions of collaborative research. They both agreed that their involvement within collaborative research teams had contributed to the development of new skills and practices but had not facilitated their participation in external activities nor their involvement in networks and organizations that influence environments in which public policies and practices are deployed. They also both encountered some difficulties in putting the dimensions that they highly valued into practice. CONCLUSIONS: Collaborative research within health care organizations succeeded in fostering the implementation of new modes of knowledge production and intervention. Nevertheless, special attention needs to be given to the development of strategies to reduce the discrepancies between values and practices.
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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 | 0.375 | 0.249 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.022 | 0.134 |
| Scholarly communication | 0.064 | 0.051 |
| Open science | 0.006 | 0.030 |
| Research integrity | 0.020 | 0.025 |
| Insufficient payload (model declined to judge) | 0.002 | 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, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".