Reflections Across 2 Continents: A Journey Between Canada and the United Arab Emirates
Bibliographic record
Abstract
<h3>Plain Language Summary</h3> This article tells the story of my medical journey across two continents—beginning as a student in the United Arab Emirates, training in Canada, and eventually returning home to practice and lead in the field of rheumatology. In Canada, I faced the challenges of adapting to a new culture, living independently, and learning in a very different healthcare system. With the support of mentors, I grew both personally and professionally, gaining lessons in accountability, teamwork, and patient-centered care. When I returned to the UAE, my role shifted from trainee to leader. I helped establish new clinics, guided treatment recommendations, trained young doctors, and worked with researchers across the region and internationally. This story shows how global experiences and mentorship can shape a physician9s vision and contribute to strengthening healthcare systems in parts of the world where specialties like rheumatology are still growing.
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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 | 0.001 |
| 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 | 0.000 |
| 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".