A reflexive exercise to promote cultural humility among doctoral nursing students
Bibliographic record
Abstract
Background: The U.S. population is becoming increasingly diverse; however, nursing remains a predominantly Caucasian profession. To promote positive outcomes among diverse patients, nurses must rely on rigorous transcultural research. When conducting research with people different from oneself, knowledge of one’s own values and beliefs is a necessary first step. In Transcultural Nursing Research, a required doctoral course, the first assignment is a reflexive exercise followed by online discussion about one’s personal culture and the origins of values and beliefs. Objectives: To (a) examine students’ responses to a reflexive exercise for evidence of cultural self-awareness, cultural humility, and insights gained and (b) assess the effectiveness of the teaching method.Methods: The setting was online within the Learning Management System (LMS), Blackboard. Participants: The sample consisted of twelve doctoral students enrolled in Transcultural Nursing Research. Methods: Student consent was obtained after course grades were submitted. Data was extracted from the LMS, de-identified, coded, categorized and collapsed into themes.Results: Four themes emerged from the data: “different versus familiar”, “cultural experiences”, “memories” and “reflections and implications”.Conclusions: Posts reflected insight into cultural awareness, values and humility. Students identified growth opportunities for themselves and their children. Suggestions for future education and research are presented.
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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 | 0.002 | 0.003 |
| 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".