Ego identity development in physicians: a cross-cultural comparison using a mixed method approach
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to examine the career decision-making process of International Medical Graduates (IMGs). There are two main types of IMGs who apply for licensure in Canada. Canadian International Medical Graduates (CIMGs) were Canadian citizens before leaving to study medicine in a foreign country, in comparison to those non-CIMGs who had studied medicine in a foreign country before immigrating to Canada. Given that their motivations for becoming a doctor in Canada may differ, it is important to examine how they decided to become a doctor for each group separately. METHODS: A total of 46 IMGs participated in a semi-structured interview - 20 were CIMGs and 26 were non-CIMGs. RESULTS: An iterative process of content analysis was conducted to categorize responses from five open-ended questions according to the Ego Identity Statuses theory of career decision-making. Event contingency analysis identified a significant difference between CIMGs and non-CIMGs, Fisher's exact test (1) = 18.79, p < .0001. A total of 55% of CIMGs were categorized as identity achieved and 45% as foreclosed; 100% of non-CIMGs were classified as identity foreclosed. CONCLUSION: About half of the Canadian citizens who had studied medicine in a foreign country had explored different careers before making a commitment to medicine, and half had not. No IMGs, however, who studied medicine in another country before immigrating to Canada, had explored various career opportunities before selecting medicine.
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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 | 0.011 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".