Developing Trusted Voices for Planetary Health: Findings from a Clinicians for Planetary Health (C4PH) Workshop
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
Climate change, biodiversity loss, and other environmental changes are rapidly impacting the health of people worldwide, but many clinicians and other health professionals feel unprepared to deal with this burgeoning issue. During the Planetary Health Annual Meeting held in Boston in late 2022, the Clinicians for Planetary Health (C4PH) working group hosted a workshop that highlighted the latest findings of clinicians’ attitudes towards climate change, connections with the related fields of lifestyle medicine and integrative health, lessons learned from implementing “one minute for the planet” in a rural Brazilian clinic, and the benefits of clinicians prescribing time in nature for their patients. This article ends with a few suggestions for healthcare providers to begin implementing planetary health into their professional practice.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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