Transition to Independent Surgical Practice and Burnout Among Early Career General Surgeons
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: The transition from surgical residency to independent practice is a challenging period that has not been well studied. Methods: An email invitation to complete a 55-item survey and the Maslach Burnout Inventory–Human Services Survey (MBI-HSS) was sent to early career general surgeons across Canada. The chi-square test or Fisher’s exact test was used to compare demographic and survey characteristics with burnout. Multivariable logistic regression was performed. Results: Of the 586 surgeons contacted, 88 responded (15%); 51/88 surgeons (58.0%) were classified as burnt out according to the MBI-HSS. Most surgeons (68.2%) were not confident in their abilities to handle the business aspect of practice. The majority (60.2%) believed that a transition to independent practice program would be beneficial to recent surgical graduates. Conclusions: Our data showed high prevalence of burnout among recently graduated general surgeons across Canada. Further, respondents were not confident in their managerial and administrative skills required to run a successful independent practice.
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.
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 | 0.001 |
| 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 it