Cultural competence of pre-licensure nursing faculty
Bibliographic record
Abstract
The purpose of this study was to determine the level of cultural competence (CC) in Texas pre-licensure nursing faculty and examine the relationships between demographics and CC scores. The researchers conducted a study to determine if demographics predicted the level of CC and explored the perceptions of CC. A convergent parallel mixed-methods design used data from a 2014 online survey with a qualitative interview component. Demographics were evaluated with descriptive statistics and CC was measured with The Nurses’ Cultural Competence Scale (NCCS). Qualitative data were analyzed using a constant comparative method. The level of CC was low to moderate. Three themes emerged from the interviews: knowledge is experiential, skills require emotional intelligence, and desire requires a catalyst. Nursing faculty could benefit from experiences with culturally diverse patients and students. Continuing education offerings and courses should follow best practices models of CC education and focus on providing meaningful experiences may also increase the knowledge and skills to help faculty members.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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".