Nursing’s metaparadigm, climate change and planetary health
Bibliographic record
Abstract
This paper offers a theoretical discussion on why the nursing profession has had a delayed response to the issue of climate change. We suggest this delay may have been influenced by the early days of nursing's professionalization. Specifically, we examine nursing's professional mandate, the generally accepted metaparadigm, and the grand theorists' conceptualizations of both the environment and the nurse-environment relationship. We conclude that these works may have encouraged nurses to conceptualize the environment, as well as their relationship with it, mainly in terms of the individual patient, and as such, nurses have not been encouraged to understand these concepts from a broader perspective. By not having the philosophical and theoretical foundations to understand the environment in relation to society, it is not surprising that nurses have had a delayed response to climate change and may not have viewed it as a professional concern. A planetary health perspective is suggested as a theoretical basis for nursing education, research and practice. Taking on a planetary health perspective could help nurses progress the profession and move healthcare systems towards supporting a climate-resilient future.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.017 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".