Pharmacy Students’ Perceptions of the Pharmacist Role: An Arts-Informed Approach to Professional Identity Formation
Bibliographic record
Abstract
Elements of professional identity are closely intertwined with professional roles, and individuals perceive themselves in relation to their roles. How pharmacists perceive their professional identity influences how they enact their roles in practice. For pharmacy students, understanding the pharmacist role and envisioning themselves in that role supports the formation of their professional identity. This study explores students' perceptions of the pharmacist role. First-year pharmacy students enrolled in the Doctor of Pharmacy program at the University of Alberta were invited to participate in this study. Using an adapted version of the draw-and-write technique, participants were asked to express their understanding of the pharmacist role visually. An analysis of the results was guided by established discourses related to pharmacist identity derived from pharmacy education literature. In total, 100 pharmacy students participated in this study. The findings indicate that pharmacy students have a comprehensive understanding of the pharmacist role, especially the dispenser and health care provider aspects of a pharmacist's professional identity. Additionally, students acknowledged the involvement of pharmacists in health care teams, in public health, and primary health care services. A discourse related to professional identity, the multi-faceted professional, emerged to describe the coexistence of multiple roles in modern pharmacy practice. An arts-based activity successfully facilitated the exploration of pharmacy students' perceptions of the professional role of pharmacists. This approach has potential in supporting instruction regarding professional identity formation within the curriculum.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".