Promoting health through personal change in social networks: A German–Danish partnership
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
The project Healthy in Everyday Life is a German–Danish partnership between local health promoters and researchers from the European University of Flensburg, Germany. The objective was to promote health opportunities at the local level by qualifying citizens as health mediators, who then become active in their neighbourhoods. It was implemented in the Danish municipalities of Sønderborg and Aabenraa and the German city of Flensburg. The project processes were evaluated using participatory research methods. The project partners worked together transnationally on all stages of the project, from the recruitment of participants, to training, the development of the evaluation design and the appraisal of evaluation results. The evaluation consisted of three levels: (1) health changes on an individual level for participants; (2) impact on social environments and neighbourhoods; and (3) the transnational collaboration. This paper presents selected results. Positive developments in the health-related behaviour of the training participants were recorded. Primary networks, such as family relationships, were shown to be supportive resources. It was not possible to determine any impact on the neighbourhoods. The transnational collaboration was perceived as enriching. At the same time, there were challenges in involving the health professionals in the evaluation process, such as restricted time for joint reflection and a lack of research skills in the community practitioners. In conclusion, the project was successful in developing a health-promoting approach that received a strong response in the German and Danish municipalities involved.
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.
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 | 0.013 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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