Enhancing the effectiveness of the International Union for Health Promotion and Education to move health promotion forward
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 success in recent years of many IUHPE initiatives provides cause for celebration, but also reminds us of the challenges that lie ahead. The Global Programme for Health Promotion Effectiveness provides a blueprint for how the IUHPE can effectively participate in, and lead, global networks for health. Health promotion research is well organized and productive in most of the Northern hemisphere, but important wells of health promotion knowledge in the Southern hemisphere are not widely-enough disseminated. The IUHPE needs to help liberate knowledge producers everywhere from unnecessary structures, and find innovative ways to illuminate knowledge for all to see. We have developed and proven the effectiveness of a range of technologies such as settings-based health promotion. However, the vast majority of communities are untouched, and the IUHPE needs to be a leader in finding ways to better disseminate effective health promotion practice. The IUHPE is a vigorous and effective advocate for health promotion training, practice and research. Now we need to expand our advocacy for equity in health, building on our effective work on social clauses in trade agreements and on tobacco control.
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 | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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