The Impact of a Rotating Elective on Medical Students' Perception of Radiation Oncology
Bibliographic record
Abstract
Background As Radiation Oncology (RO) is a field with limited exposure in undergraduate medical education curricula, the information sources used to form students' perception of the field can have a substantial impact on whether students decide to pursue experiences in RO. Furthermore, the effects of a single elective experience in RO can strongly influence career decisions as it may serve as the only experience for students to gain an understanding of RO as a specialty. This study analyzes which information sources students use and most strongly value when forming their perception of RO both before and after participating in the program, while also analyzing changes in the perception of various speciality-related factors associated with RO. Methods To address underrepresented specialties, the Pre-clerkship Residency Exploration Program (PREP) was developed to provide students exposure to RO and 13 other specialties through half-day clinical rotations, simulations, skills sessions, and panel discussions. A total of 37 participants completed both "Pre-program" and "Post-program" surveys to evaluate which information sources they use and value most when forming their perception of RO, and student perception of career factors associated with RO was assessed. Results Students reported that Pre-program information sources of RO were based on Lectures (35 students, 94.6%) and Preceptors (18 students, 48.7%). Post-program responses indicated that the greatest sources of information used were from Preceptors (36 students, 97.3%) and Residents (34 students, 91.9%), with the greatest increase being found in interactions with Residents for gaining specialty information (78% increase). Students most highly valued Preceptors, Residents, and Lectures as information sources when forming their perception of RO. Pre-program, students had the greatest positive perception of RO with respect to Income Potential (mean: 3.76/5.00 ± 0.87), Intellectual Challenge (mean: 3.90/5.00 ± 0.94), and Research Opportunities (mean: 3.86/5.00 ± 0.83) while most negatively assessing the factors of Flexibility (mean: 2.69/5.00 ± 0.93) and Level of Stress (mean: 2.93/5.00 ± 0.94). Conclusions Student perception of a medical specialty is a factor that may influence student elective choice and career decisions. Through participating in PREP, significant positive increases were found in students' perception of RO in the areas of Flexibility, Patient Population, Competitiveness of the Specialty, Quality of the Working Environment, and Levels of Stress. This study highlights which information sources students value the most when forming their perception of RO and the impact a single elective experience has on improving student perception of the field. RO-based programs and lectures can be better designed using this information to introduce students to this specialty.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".