Discourses influencing nurses' perceptions of First Nations patients.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it