Beyond Science and Technology: Creating Planetary Health Needs Not Just ‘Head Stuff’, but Social Engagement and ‘Heart, Gut and Spirit’ Stuff
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
I have been involved in studying and working within what is now called the Anthropocene for almost 50 years, and in all that time, not only have we failed to make much progress, but the state of the Earth’s ecosystems has generally worsened. Yet somehow we must create a world in which everyone on Earth has good health and a good quality of life—a matter of social justice—while living within the physical and ecological constraints of the one small planet that is our home; this is the focus of the new field of planetary health. Our worsening situation is not due to lack of knowledge, science and technology; in broad terms, we knew most of the challenges and many of the needed solutions back in the 1970s. Instead, the challenges we face are social, rooted in cultural values, political ideologies, legal and economic systems, ethical principles and spiritual/religious beliefs. Therefore, we have to move beyond science and technology and address these broader socio-cultural issues by engaging in economic, legal and political work, complementing and supplementing ‘head stuff’ with ‘heart, gut and spirit stuff’, and working from the grass roots up.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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