Exploring Professional Identity Development in Medical Laboratory Professional Students
Bibliographic record
Abstract
Despite being the fourth largest health profession in Canada, medical laboratory science is perhaps one of the most poorly studied and underrepresented health care fields. While substantial research exists surrounding more well-known health care professions like nursing and medicine, there has been a minimal exploration of the sociological, cultural, and educational aspects of the medical laboratory profession in Canada. Given educational programs and clinical experiences are central to professional socialization processes and professional identity formation in health care professions, this research explores this process in a cohort of medical laboratory science students in the province of Newfoundland and Labrador, Canada. Drawing from a conceptualization of professional identity development as a form of learning shaped through cognitive, emotional, and social dimensions of lived experience, I explored the individual and professional experiences of students in a contemporary medical laboratory training program. Utilizing a case study approach, the study focused on the experiences that occurred during students’ first substantive encounter with a clinical laboratory environment and evaluated how the clinical practicum served to affect their professional identity development, perspectives of the field, and view of the medical laboratory profession in a transformative way. Consistent with research in other health-related fields, findings indicated that clinical practicum serves as a particularly important transitional and transformational period for student medical laboratory professionals and is a time in which they reflect upon their attitudes, behaviours, roles, and experiences. This research concluded that exposure to the clinical realm serves to affect their sense of professional identity in meaningful ways.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.014 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.005 |
| 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".