The Second Physical Therapy Summit on Global Health: developing an action plan to promote health in daily practice and reduce the burden of non-communicable diseases
Bibliographic record
Abstract
Based on indicators that emerged from The First Physical Therapy Summit on Global Health (2007), the Second Summit (2011) identified themes to inform a global physical therapy action plan to integrate health promotion into practice across the World Confederation for Physical Therapy (WCPT) regions. Working questions were: (1) how well is health promotion implemented within physical therapy practice; and (2) how might this be improved across five target audiences (i.e. physical therapist practitioners, educators, researchers, professional body representatives, and government liaisons/consultants). In structured facilitated sessions, Summit representatives (n = 32) discussed: (1) within WCPT regions, what is working and the challenges; and (2) across WCPT regions, what are potential directions using World Café(TM) methodology. Commonalities outweighed differences with respect to strategies to advance health-focused physical therapy as a clinical competency across regions and within target audiences. Participants agreed that health-focused practice is a professional priority, and a strategic action plan was needed to develop it as a clinical competency. The action plan and recommendations largely paralleled the principles and objectives of the World Health Organization's non-communicable diseases action plan. A third Summit planned for 2015 will provide a mechanism for follow-up to evaluate progress in integrating health-focused physical therapy within the profession.
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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 | 0.029 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".