Exploring leader characteristics and needs necessary for the successful implementation of project move, a group-based physical activity program for breast cancer survivors
Bibliographic record
Abstract
Objective: Project MOVE is a group based program with a primary focus of increasing physical activity (PA) among breast cancer (BC) survivors through the use of microgrants (small amount of funding awarded to community groups to support the design and implementation of a PA initiative) and a financial incentive. Each Project MOVE group is facilitated by a group-appointed leader who plays a lead role in the submission of the microgrant application and the implementation of the funded PA initiative. The purpose of this study was to explore group leaders' characteristics and needs necessary for successful implementation of the Project MOVE model (microgrants + financial incentive). Methods: Semi-structured telephone interviews were utilized to gain insight from Project MOVE group leaders (n=9). Group leaders were mainly women (89%) with a mean age of 44.25 ± 17.60. All interviews were recorded and transcribed verbatim. Using thematic content analysis, data were independently coded and categorized by two research team members. Results: Findings that emanated from discussions with the group leaders were coded into five themes: organisation skills, interpersonal communication, importance of social support, fostering motivation, and needs related to education and training for PA. Within these themes, outcomes of group connectedness and enhanced social interaction were evident. Conclusion: Findings from this research provide insight into the development of group-based PA initiatives for BC survivors and the needs of effective leaders.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".