General Pediatrics Resident Perspectives on Training Decisions and Career Choice
Bibliographic record
Abstract
OBJECTIVE: Little is known regarding at what point during the training period residents in pediatrics make decisions on their future career choices. As part of a dedicated process of reexamining the structure of residency training in pediatrics, the American Board of Pediatrics sought information to better understand the influences, process, and sequencing of both residency program selection and career decision-making among residents. METHODS: All pediatrics resident physicians in all training programs in the United States and Canada (N = 8290) received the survey as part of the general pediatrics in-training examination. The survey focused on exploring how and when pediatrics residents make career choices and assessed perceived flexibility of their individual pediatrics residency program. RESULTS: The response rate was 95%. Location was the most important factor in selecting a residency program for 42% of all residents. Almost half of the pediatrics residents planned to pursue fellowship training after residency, a proportion that changed little across the 3 training years (level 1: 47%; level 2: 49%; level 3: 47%). Those who planned to pursue a general pediatrics career (either with or without inpatient care) were more likely than those who intended to pursue fellowship training to report that lifestyle was the most important factor in their career choice (63% vs 21%). CONCLUSIONS: Not surprisingly, different priorities motivate pediatricians to pursue specific programs for training and specific career options. The finding that those with the highest priority regarding lifestyle are more likely to pursue generalist training has implications for the generalist workforce, because those persons may also be more likely to seek part-time employment. Lifestyle concerns may need to be addressed in subspecialty training and subsequent subspecialty careers to ensure a continued flow of residents into fellowship training.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".