Evaluating the Integration of Cultural Competence Skills Into Health and Physical Assessment Tools
Bibliographic record
Abstract
Currently used audiovisual (AV) teaching tools to teach health and physical assessment reflect a Eurocentric bias using the biomedical model. The purpose of our study was to (a) identify commonly used AV teaching tools of Canadian schools of nursing and (b) evaluate the identified tools. A two-part descriptive quantitative method design was used. First, we surveyed schools of nursing across Canada. Second, the identified AV teaching tools were evaluated for content and modeling of cultural competence. The majority of the schools (67%) used publisher-produced videos associated with a physical assessment textbook. Major findings included minimal demonstration of negotiation with a client around cultural aspects of the interview including the need for an interpreter, modesty, and inclusion of support persons. Identification of culturally specific examples given during the videos was superficial and did not provide students with a comprehensive understanding of necessary culturally competent skills.
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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 | 0.000 |
| 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 | 0.001 |
| 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".