Engendering cultural responsive care: a reflective model for nurse education
Bibliographic record
Abstract
A significant outcome of globalization has been a greater movement of peoples. As a consequence societies around the world are increasingly becoming multicultural. Multiculturalism, therefore, is a major characteristic of modern societies and one which has significant implications for health care delivery and health care systems. Many of these implications arise from differing health beliefs and values. Different cultural groups will, therefore, have values and attitudes consistent with that culture. Within health care the norms of the host culture tend to dominate resulting in ethnocentrism. This ethnocentric approach to delivery of health care has led to inequities, with immigrant groups reporting dissatisfaction with health care provision. This paper explores the ways in which health belief systems and values are constructed. It then goes on to consider how differing health beliefs have led to health disparities, amongst differing cultural groups, within the United Kingdom. A model of reflection specifically designed to facilitate the exploration of health care values within a pre-registration nursing curriculum is proposed as one way of promoting culturally sensitive care within nursing students.
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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 | 0.006 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 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".