Medical students, money, and career selection: students' perception of financial factors and remuneration in family medicine.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Medical students have had a declining interest in family medicine as a career. Some studies have shown a small inverse relationship between debt levels and primary care, but it is unclear how students perceive remuneration in different specialties and how these perceptions might influence career choice. METHODS: Medical students at one school were surveyed to understand their perceptions of physician remuneration and to gain insight into how these perceptions might affect career selection. RESULTS: Response rate was 72% (560/781 students). Students' estimates of physician income were accurate throughout training, with the overall estimate for family medicine being lower than the actual income by only $10,656. The vast majority of students agreed with the statement that family physicians get paid too little (85%-89% of each class). The importance of payment as a factor in career decision making increased with higher debt and with advancing training. CONCLUSIONS: Students are able to accurately predict income by specialty from an early stage of training and have a negative perception of income in family medicine. The perception that family physicians make too little money could be an important driver--or at least a modifier--in the lack of interest in family medicine.
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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 | 0.002 | 0.001 |
| 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 | 0.000 |
| 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".