Barriers to Resident Research in Radiology: A Canadian Perspective
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
PURPOSE: The study sought to identify and characterise barriers to research for Canadian diagnostic radiology residents and suggest potential solutions to enhance future research success. METHODS: Institutional research board approval was obtained. Electronic surveys were solicited from all postgraduate year 2-5 diagnostic radiology residents at all 16 programs across Canada. The survey focused on key factors inhibiting research during training. RESULTS: Of all 400 Canadian diagnostic radiology residents, 88 (22%) responded. Of respondents, 86% reported research experience before residency, with 19% holding a nonphysician graduate degree. All indicated that research was a requirement for completion of their residency. The most important reported factors limiting resident research were time constraints (67%), personal disinterest (32%), and inadequate mentorship (32%). Although 44% reported dedicated residency program research training, 40% reported no such opportunities. Among the various time constraints, respondents cited studying demands (61%), on-call demands (52%), and daily clinical duties (38%) as strong or significant barriers to research. Most (63%) indicated their program provided at least some protected research time, but 21% were not aware of such protected time availability. When available, protected research time was modest, and ranged from 0.5 days/month to 3 months, with the majority of respondents citing 1 month of protected research time. CONCLUSIONS: Diagnostic radiology residents in Canada report numerous barriers to research. Programs seeking to enhance radiology research should focus on providing appropriate training, protected time, and mentorship.
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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| 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 it