Cross-sector cooperation in health-enhancing physical activity policymaking: more potential than achievements?
Bibliographic record
Abstract
BACKGROUND: The cooperation of actors across policy fields and the need for cross-sector cooperation as well as recommendations on how to implement cross-sector cooperation have been addressed in many national and international policies that seek to solve complex issues within societies. For such a purpose, the relevant governance structure between policy sectors is cross-sector cooperation. Therefore, cross-sector cooperation and its structures need to be better understood for improved implementation. This article reports on the governance structures and processes of cross-sector cooperation in health-enhancing physical activity (HEPA) policies in six European Union (EU) member states. METHODS: Qualitative content analysis of HEPA policies and semi-structured interviews with key policymakers in six European countries. RESULTS: Cross-sector cooperation varied between EU member states within HEPA policies. The main issues of the cross-sector policy process can be divided into stakeholder involvement, governance structures and coordination structures and processes. Stakeholder involvement included citizen hearings and gatherings of stakeholders from various non-governmental organisations and citizen groups. Governance structures with policy and political discussions included committees, working groups and consultations for HEPA policymaking. Coordination structures and processes included administrative processes with various stakeholders, such as ministerial departments, research institutes and private actors for HEPA policymaking. Successful cross-sector cooperation required joint planning and evaluation, financial frameworks, mandates based on laws or agreed methods of work, communication lines, and valued processes of cross-sector cooperation. CONCLUSIONS: Cross-sector cooperation required participation with the co-production of goals and sharing of resources between stakeholders, which could, for example, provide mechanisms for collaborative decision-making through citizen hearing. Clearly stated responsibilities, goals, communication, learning and adaptation for cross-sector cooperation improve success. Specific resources allocated for cross-sector cooperation could enhance the empowerment of stakeholders, management of processes and outcomes of cross-sector cooperation.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".