Rhizomatic Assemblages: Connecting Climate Change to Nursing Action
Bibliographic record
Abstract
Calls for nursing action to address climate change are resounding throughout the nursing community, yet many nurses feel ill-prepared to engage in climate action. As a collective practice discipline, we argue that nursings’ internalized a rigid view of what nursing is and, through self-disciplining practices, actively police our knowledge and practice to conform within a bounded domain that fails to view global issues, such as climate change, as being within the scope of nursing. To build nurses’ climate action capacity, we draw on Deleuze and Guarttari’s (1987) concept of rhizomatic assemblages to make an explicit connection between health and climate change, but also how climate action is a moral imperative in the scope of nursing education and practice. Using examples in the four domains of nursing - education, practice, research, and policy, we present how nurses can engage in coordinated and collaborative efforts both within and outside of ‘traditional’ nursing practice to address the connecting and complicated pathways of a changing climate.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".