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Record W2767972237 · doi:10.1177/2053019617739640

Human health and social-ecological systems change: Rethinking health in the Anthropocene

2017· article· en· W2767972237 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

VenueThe Anthropocene Review · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAnthropoceneEcological systems theoryEnvironmental ethicsHealth careClimate changeContext (archaeology)SociologyEcologyEnvironmental resource managementGeographyPolitical scienceBiologyEnvironmental scienceArchaeology

Abstract

fetched live from OpenAlex

This review article considers how social-ecological systems change is transforming human health in the Anthropocene. From hunting and gathering bands through modern globalized societies, human health has been shaped by circular feedbacks between ecological processes, available energy sources, levels of social complexity, and cultural ontologies. As the environmental crises of the early Anthropocene (biodiversity loss, climate change, land use changes) push ecosystems across thresholds into new configurations, we are experiencing an equally profound transition for human health. Drawing on literatures from medical anthropology, sociology, complexity science, and ecological economics, this article argues that promising alternatives for health systems in the Anthropocene are emerging beyond the boundaries of the formal healthcare sector in community-based practices that can take root in a context of ecological limits, economic contraction, and growing networks of reciprocal care.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.735
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.280
GPT teacher head0.457
Teacher spread0.177 · 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