Bibliographic record
Abstract
Over the past several decades, nurses have been increasingly theorizing about the relationships between culture, health, and nursing practice. This culture theorizing has changed over time and has recently been subject to much critical examination. The purpose of this paper is to identify the challenges impeding nurses' ability to build theory about the relationships between culture and health. Through a historical overview, I argue that continued support for the essentialist view of culture can maintain a limited view of complex race relations. I also argue that attempts to apply culture theory, without knowledge of important historical, political, and economic factors, has often resulted in oversimplified versions of what was originally intended. Furthermore, I argue that individual-level interventions alone will be insufficient to address health inequities related to culture. Despite new critical conceptualizations of culture and the uptake of cultural safety, nursing scholars must better address the broader organizational, population, and political interventions needed to address inequities in health. I conclude with suggestions for how nurses might proceed with culture theorizing given these challenges.
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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 | 0.033 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.004 | 0.020 |
| Scholarly communication | 0.014 | 0.030 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.005 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".