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Planetary Health: Focusing on the Intersection of Human Health and the Earth System

2025· article· en· W4413141546 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnual Review of Environment and Resources · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsWestern University
Fundersnot available
KeywordsIntersection (aeronautics)Earth (classical element)Earth system scienceHuman healthAstrobiologyGeographyEnvironmental scienceEnvironmental healthEcologyMedicineBiologyCartographyPhysicsAstronomy

Abstract

fetched live from OpenAlex

The core insight of Planetary Health is that the Earth crisis is fueling a global health crisis. Planetary Health examines the links between human health and Earth's natural systems. This review outlines key drivers of environmental degradation and how they lead to global environmental change, which is marked by the transgression of six Planetary Boundaries and causes severe health impacts such as malnutrition and the spread of diseases, with increased risks for vulnerable populations. The concept of Earth system justice highlights the need for just solutions to address inequities within and between generations. The review discusses actions like sustainable food and energy systems, circular economies, governance changes, and collaboration across sectors. It also emphasizes the importance of Indigenous knowledges and building resilience for vulnerable populations. Aligning human well-being with the health of natural systems is necessary to address current challenges and ensure a livable future for all.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.212

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.288
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it