Medical Student Perception of Plastic Surgery and the Impact of Mainstream Media
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: Plastic surgery as a discipline is poorly understood by many, including primary care physicians, nurses, medical students, and the public. These misconceptions affect the specialty in a number of ways, including referral patterns and recruitment of medical students into residency programs. The reason for these commonly held misconceptions has not yet been addressed in the plastic surgery literature. As such, we assessed medical students' knowledge and perceptions of plastic surgery as a discipline and explored factors influencing these opinions. METHODS: To assess medical students' knowledge and perceptions of plastic surgery, we conducted an online survey. A total of 231 medical students responded. Interviews were then conducted with 2 focus groups, in which we explored the survey results and reasons behind these misconceptions. RESULTS: As with previous studies, medical students showed a gap in knowledge with respect to plastic surgery. Although they were generally aware that plastic surgeons perform cosmetic procedures and treat burns, they were largely unaware that plastic surgeons perform hand and craniofacial surgeries. Focus groups revealed that television plays a large role in shaping their ideas of plastic surgery. CONCLUSION: Medical students have a skewed perception of the discipline of plastic surgery, and this is largely influenced by television. Interventions aimed at educating medical students on the matter are recommended, including a greater presence in the preclerkship medical school curriculum.
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 | 0.004 | 0.064 |
| 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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