Nursing in media-saturated societies: implications for cultural safety in nursing practice in Aotearoa New Zealand
Bibliographic record
Abstract
This educational piece seeks to apprise nurses and other health professionals of mass media news practices that distort social and health policy development. It focuses on two media discourses evident in White settler societies, primarily Australia, Canada, New Zealand and the United States, drawing out implications of these media practices for those committed to social justice and health equity. The first discourse masks the dominant culture, ensuring it is not readily recognised as a culture, naturalising the dominant values, practices and institutions, and rendering their cultural foundations invisible. The second discourse represents indigenous peoples and minority ethnic groups as ‘raced’ – portrayed in ways that marginalise their culture and disparage them as peoples. Grounded in media research from different societies, the paper focuses on the implications for New Zealand nurses and their ability to practise in a culturally safe manner as an exemplary case. It is imperative that these findings are elaborated for New Zealand and that nurses and other health professionals extend the work in relation to practice in their own society.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".