Employment Outcomes for Canadian Radiation Oncology Graduates: 2020 Assessment and Longitudinal Trends
Bibliographic record
Abstract
Purpose: Canadian radiation oncology (RO) trainees have experienced employment challenges after residency training. The present study was conducted to evaluate current employment trends and perform comparisons to prior reported assessments. Methods and Materials: A survey was administered to all 13 Canadian RO program directors requesting the employment status and location of their graduates during the past 3 years, and their perceptions on graduates' employment challenges. Visa trainees were excluded. Findings were compared with surveys performed in 2014, 2016, and 2018. Results: The response rate from RO program directors was 100%. There were 77 graduates identified who completed their residency training between 2017 and 2020. All had known employment status and location. Two (17%) 2020 graduates, 16 (84%) 2019 graduates, 17 (81%) 2018 graduates, and 24 (100%) 2017 graduates had staff employment. Of the 59 graduates with staff positions, 86% were in Canada. Some graduates (28%) obtained staff or locum employment in a province other than their training program. The proportion of graduates obtaining staff positions 1 year after residency increased to 84% from 46%-48% in prior assessments. Most program directors (62%) did not perceive any difficulties with their graduates finding staff employment or trainees transferring to training programs in other disciplines owing to perceived workforce challenges. Conclusions: Compared with 3 prior employment outcome assessments, this study observed a higher proportion of graduates with staff positions in Canada, fewer total graduates, fewer graduates seeking staff employment or in fellowship positions, and a trend for fewer graduates seeking employment or fellowships abroad. These findings support the view that the Canadian RO job market continues to improve. Although employment challenges for newly certified, Canadian-trained radiation oncologists still exist, national corrective measures to regulate resident intake in 2011 appear to have had a positive effect on the employment outcomes of recent Canadian RO graduates.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".