The use of focused ethnography in nursing research
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
AIM: To provide an overview of the relevance and strengths of focused ethnography in nursing research. The paper provides descriptions of focused ethnography and discusses using exemplars to show how focused ethnographies can enhance and understand nursing practice. BACKGROUND: Orthodox ethnographic approaches may not always be suitable or desirable for research in diverse nursing contexts. Focused ethnography has emerged as a promising method for applying ethnography to a distinct issue or shared experience in cultures or sub-cultures and in specific settings, rather than throughout entire communities. Unfortunately, there is limited guidance on using focused ethnography, particularly as applied to nursing research. DATA SOURCES: Research studies performed by nurses using focused ethnography are summarised to show how they fulfilled three main purposes of the genre in nursing research. Additional citations are provided to help demonstrate the versatility of focused ethnography in exploring distinct problems in a specific context in different populations and groups of people. DISCUSSION: The unique role that nurses play in health care, coupled with their skills in enquiry, can contribute to the further development of the discipline. Focused ethnography offers an opportunity to gain a better understanding and appreciation of nursing as a profession, and the role it plays in society. CONCLUSION: Focused ethnography has emerged as a relevant research methodology that can be used by nurse researchers to understand specific societal issues that affect different facets of nursing practice. IMPLICATIONS FOR PRACTICE/RESEARCH: As nurse researchers endeavour to understand experiences in light of their health and life situations, focused ethnography enables them to understand the interrelationship between people and their environments in the society in which they live.
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 | 0.041 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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