Bibliographic record
Abstract
Two recent academic events came together in what might be considered a synergistic fashion and caused me to consider once again the issues around surgical training in Canada in the further light of our ability to deliver appropriate care in the community by ensuring that Canadian trainees are given appropriate exposure to good teaching and good clinical experience. I was recently asked to give a talk on generational differences among physicians and how this affects orthopedic surgery. At much the same time we were conducting, within our own Division of Orthopaedic Surgery at the University of Toronto, a faculty development exercise on the strengths and attributes in trainees that would ensure success in later practice. Trainees were asked as well what they felt they needed in their training program to ensure their success during their residency, with the Royal College evaluation process and finally in clinical practice. The research around generational differences has revealed that “Gen Xers” — members of the so-called Generation X — enjoy unprecedented mobility, a healthy suspicion of authority, a lack of institutional loyalty and a readiness to look at every alternative rather than simply accepting what they are told or taught.1,2 Many of the characteristics of current trainees that we find so difficult I think reflect the generational difference in attitude toward work, authority and commitment. Although many of us wonder why residents nowadays are not “more like we used to be,” it is my impression that the trainees are probably wondering the same thing about us: Why aren't we more like them? This impression was buttressed by the survey we took about resident attributes. The dozens of responses we received basically expressed 5 themes, which might be termed honesty, dedication, intellectual curiosity, technical ability and capacity for hard work. Most will all agree that these in fact are characteristics amply demonstrated by our trainees, and no different from the qualities we had as trainees and hope to continue to retain as practising surgeons. When residents what they wanted or liked in their training program, the replies were equally predictable: courteous and helpful nursing staff, dedicated attending staff, good lectures and didactic teaching, ample access to instruction about procedures and a caring and committed faculty. What they don't want are teachers who blame the trainee for procedural inadequacies or the hospital in which they work for deficiencies, or who cannot accept the inevitable change in education that is occurring all around us. The lesson I learned was that there exists no great discrepancy between what the teachers and the taught feel they need in order to be successful. There is no shortage of opportunity for trainees to obtain what they need to feel comfortable about what they are learning now and what they will practise in future. The people who teach should be sensitive to the generational differences that make current trainees seem less involved or engaged in the exercise of learning, and recognize that our current residents' commitment to excellence is no less than was ours when we were learning our craft. James P. Waddell, MD Coeditor
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 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 | 0.003 | 0.013 |
| 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".