Nature Connection: Providing a Pathway from Personal to Planetary Health
Bibliographic record
Abstract
The vast and growing challenges for human health and all life on Earth require urgent and deep structural changes to the way in which we live. Broken relationships with nature are at the core of both the modern health crisis and the erosion of planetary health. A declining connection to nature has been implicated in the exploitative attitudes that underpin the degradation of both physical and social environments and almost all aspects of personal physical, mental, and spiritual health. It is increasingly clear that the entwined challenges of biodiversity loss, climate change, and human health cannot be addressed without addressing selfishness, greed, apathy, and the value systems that created these global problems. Calls for a spiritual and cultural transformation recognize that “inner” development is important and necessary for meaningful “outward” transitions with a shared purpose for wiser, more sustainable societies. Many of these emotional and spiritual assets appear to be facilitated by a connection to nature, which is also strongly associated with community cohesion, prosocial attitudes, and pro-environmental actions. Restoring the human connection to nature may therefore provide a critical common pathway to promote the physical and spiritual wellbeing of individuals and communities as well as personal and social environmental responsibility. In this paper, we summarize and reflect on the discussions of the Nova Network planetary health community with respect to nature-based solutions as pathways to promote both personal and planetary health with a more mutualistic mindset. These discussions spanned biological to psychological interactions with nature—including the critical relationships with environmental microbes that influence the physical, emotional, and behavioral aspects of health. We consider the ways in which stronger relationships with nature promote “inner assets” to support “outward actions” for personal and planetary health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.002 | 0.027 |
| Research integrity | 0.008 | 0.013 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".