Cultural Awareness in Veterinary Practice: Student Perceptions
Bibliographic record
Abstract
Australian veterinary classrooms are increasingly diverse and their growing internal diversity is a result of migration and large numbers of international students. Graduates interact with other students and increasingly with clients whose attitudes, beliefs, values, and behaviors differ from their own. An understanding and respect for these differences has an impact on client communication and health care outcomes. The present study explored how students understand and are likely to deal with issues of cultural diversity in veterinary professional practice as well as the educational needs that students feel should be met in regard to preparation to engage productively with diversity in professional practice. The present study also explored the extent to which the rich diversity of the undergraduate student population constitutes an educational resource. A class of final-year veterinary students was invited to participate in a workshop exploring intercultural confidence in veterinary consultation. Twelve groups of six to eight students discussed a fictitious scenario involving a challenging clinical encounter with a client from a different culture. Students were reticent to see the scenario in terms of cultural difference, although they generally recognized that awareness of cultural issues in veterinary practice was important. They also tended to not see their own ethnicity as relevant to their practice. While some felt that veterinary practice should be culture blind, most recognized a need to orient to cultural difference and to respond sensitively. Their suggestions for curricular improvements to address these issues are also included.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".