Examining the Feasibility and Effectiveness of a Community-Based Organization Implementing an Event-Based Knowledge Mobilization Initiative to Promote Physical Activity Guidelines for People With Spinal Cord Injury Among Support Personnel
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
UNLABELLED: Community-based organizations (CBOs) and support personnel that serve marginalized members of society have the potential to be important partners in knowledge mobilization (KM). A CBO in partnership with researchers developed an event-based KM initiative to disseminate evidence-based physical activity guidelines for people with spinal cord injury. PURPOSE: The purpose of this case study is to demonstrate a) how a CBO can implement a KM initiative and b) the effectiveness of the initiative for disseminating the guidelines to support personnel. METHOD: The KM initiative consisted of 12 events about the new guidelines held within the CBO's regional areas. Evaluation of the events was guided by the RE-AIM (reach, efficacy or effectiveness, adoption, implementation, and maintenance) framework. RESULTS: Adoption of the events was high, with 88% of regions hosting an event. Overall fidelity to the event protocol was high among researchers (100.00% ± .00), peers (65% ± 33.74), and staff (70.00% ± 34.96). The events reached 140 support personnel who attended the events. Significant increases in support personnel's self-efficacy and intentions to promote physical activity to people with spinal cord injury were seen at Time 2 but not maintained at Time 3. CONCLUSIONS: Event-based KM initiatives may be an effective strategy for CBOs to disseminate information to support personnel and ensure that KM initiatives are supported by staff and delivered as intended.
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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 | 0.032 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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