Youth‐inclusive framework for a sustainable future in planetary health action: A conference summary
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 multisectoral nature of emerging global health threats, such as climate change, antimicrobial resistance, and food security, requires holistic solutions. Planetary health, which encompasses the relationship between human systems- political, economic, and social-and Earth's natural systems, is an emerging holistic approach used globally. The Global Health Workforce Network (GHWN) Youth Hub Virtual Conference 2022 was held on 9-10 September 2022 to discuss the role of youth in advancing planetary health. This conference summary introduces a novel youth-inclusive planetary health framework and describes the current implementation landscape and challenges of planetary health. Based on literature review and discussions at the conference, we identified four supporting pillars of youth-inclusive planetary health approaches: governance, competency-based education, research, and digital health. Considering the increasing number of youth in the global health workforce and their huge interests in community participation, meaningful youth engagement should be prioritized to ensure the sustainability of these approaches.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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