Discourses influencing nurses' perceptions of First Nations patients.
Bibliographic record
Abstract
This study explores the social and professional discourses that influence nurses knowledge and assumptions about First Nations patients. Through the use of an ethnographic design, in-depth interviewing, and participant observation, data were collected over a 9-month period of immersion in a midsized hospital located in western Canada. Purposive sampling was used to recruit 35 participants: nurses, First Nations women who were patients in the hospital, and key informants with expertise in Aboriginal health. The findings indicate that 3 overlapping discourses were shaping nurses' perspectives concerning the First Nations women they encountered: discourses about culture, professional discourses of egalitarianism, and popularized discourses about Aboriginal peoples. Cultural assumptions were intertwined with dominant social stereotypes and were sometimes expressed as fact even when they conflicted with egalitarian ideals. Conclusions highlight the need for strategies to help nurses think more critically about their understandings of culture, the sociopolitical context of health-care encounters, and the wider social discourses that influence the perspectives of nurses.
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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 | 0.012 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".