Intersection of Climate Change and Health: An Explication of the Future of Nursing 2020-2030: Charting a Path to Achieve Health Equity
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
The US National Academy of Medicine released its consensus study for the next decade entitled The Future of Nursing 2020-2030: Charting a Path To Achieve Health Equity (National Academies of Sciences, Engineering, and Medicine, 2021). This paper examines the report, its implications for nursing globally, its focus on systemic, structural, and institutional racism, and the intersection with climate change and deleterious health consequences. The National Academies of Science, Engineering, and Medicine (NASEM) has led in addressing the critical role of the nursing profession in achieving optimal population health outcomes in the US. Yet, relevance exists for nursing in other global areas. The most recent US report focuses on social determinants of health (SDoH) and explicitly addresses climate change as a looming public health threat. An analysis of the key foci of nursing’s role in climate change amidst the critical role of health equity globally is explicated.
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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 | 0.000 | 0.001 |
| 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