Supporting meaningful research partnerships: an interview study applying behavior change theory to develop relevant recommendations for researchers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Research partnerships, while promising for ensuring translation of relevant and useable findings, are challenging and need support. This study aimed to apply behavior change theory to understand and support researchers' adoption of a research partnership approach and the Integrated Knowledge Translation (IKT) Guiding Principles for conducting and disseminating spinal cord injury (SCI) research in partnership. Using an IKT approach, SCI researchers across Canada and the USA completed a survey (n = 22) and were interviewed (n = 13) to discuss barriers and facilitators to deciding to partner and follow the IKT Guiding Principles. The Behaviour Change Wheel, Theoretical Domains Framework (TDF), and Mode of Delivery Ontology were used to develop the survey, interview questions, and guided analyses of interview data. COM-B and TDF factors were examined using descriptive statistics and abductive analyses of barriers and facilitators of decisions to partner and/or use the IKT Guiding Principles. TDF domains from the interview transcripts were then used to identify intervention, content, and implementation options. 142 factors (79 barriers, 63 facilitators) related to deciding to partner, and 292 factors (187 barriers, 105 facilitators) related to deciding to follow the IKT Guiding Principles were identified. Barriers to partnering or use the IKT Guiding Principles were primarily related to capability and opportunity and relevant intervention options were recommended. Interventions must support researchers in understanding how to partner and use the IKT Guiding Principles while navigating a research system, which is not always supportive of the necessary time and costs required for meaningful research partnerships.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | Metaresearch Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | Metaresearch Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | medium |
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 | 0.056 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it