Perspectives and experiences of the first geriatricians trained in Canada
Bibliographic record
Abstract
Many Canadian-trained geriatricians from the subspecialty's first decade of existence continue to practice today. The objective of this study was to examine the experiences and perspectives of the earliest cohort of geriatricians in Canada. Using qualitative description method, we conducted semi-structured interviews to explore participants' experiences in training and practice. We included geriatricians who trained in Canada between 1980-1989 and were in active clinical practice as of October 2021. Each transcript was coded independently by two investigators. Thematic analysis was used to develop key themes. Fourteen participants (43% female, mean years in practice 35.9) described their choice to enter geriatric medicine, their training process, the roles of a geriatrician, challenges facing the profession and advice for trainees. Two themes were developed from the data: (i) advocacy for the older adult and (ii) geriatrics as "the road less taken". Advocacy was described as the "core mission" of a geriatrician. Participants discussed the importance of advocacy in clinical practice, education, research and disseminating geriatric principles in the health system and society. "The road less taken" reflected the challenges participants faced during training, which led to relatively few geriatricians for the growing number of older adults in Canada. Despite these challenges, participants described rewarding careers and encouraged trainees to consider the profession.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".