Canadian Association of University Surgeons’ Annual Symposium: W(h)ither generalism(?): Halifax, NS, Sept. 6, 2008
Bibliographic record
Abstract
This 2008 Symposium of the Canadian Association of University Surgeons (CAUS) brought together surgeons from a number of jurisdictions to discuss generalism in general surgery and its future. Dr. John Birkmeyer, the 2008 Charles Tator lecturer, started the symposium by framing the problem: the need to improve surgical outcomes, selective referral, centres of excellence, process compliance and performance feedback. Dr. John Bohnen, chair of the Royal College of Physicians and Surgeons of Canada’s (RCPSC) General Surgical Specialty Committee, underscored the mismatch between the provision of care and regional Canadian patient needs. By measuring structure and process and maintaining a national dialogue, solutions to potential care inequities will be found. Dr. Bill Fitzgerald, president of the RCPSC and past president of the Canadian Association of General Surgeons (CAGS), defined the enormous breadth in the scope of practice that is available to general surgeons across Canada. He highlighted the importance of the community surgeon not only in his or her specialty but also as a vital trainer of students, residents and international medical graduates. He identified the importance of general surgery in the country’s military mission. He called for a thorough re-examination of the compensation model to ensure equity and recognition of diversity. Dr. Bill Pollett, president of CAUS, identified the alternative types of practice encountered in communities of 50 000 or less. Surveys of members and trainees of the CAGS showed how much postfellowship training is done, and that whereas the perception is one of diminished quality of life and less remuneration, the nature of community general surgery makes it a highly desirable career choice. He called for focused community general surgical training to recognize the unique demands compared with urban and large city practices.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".