Pre-residency publication and its association with paediatric residency match outcome—a retrospective analysis of a national database
Bibliographic record
Abstract
INTRODUCTION: Scholarly activity is considered valuable in the resident selection process by candidates and program directors alike, despite existing literature suggesting applicants with scholarly work do not perform better in the match. These studies, however, are limited in that they have only measured whether candidates have successfully matched or not. To try and reconcile the existing disconnect in the value of pre-residency scholarly activity, we sought to deepen the understanding by investigating whether pre-residency publication is associated with a higher rank-order list match achievement. METHODS: Anonymized data were collected from the Canadian Residency Matching Service for individuals matched to paediatric programs from 2007-2012. The primary analysis was to identify whether documentation of ≥1 pre-residency publication was associated with achieving a first-choice match. Secondary analyses included evaluating for an association between multiple pre-residency publications, academic presentations or a graduate degree and match outcome. RESULTS: Of a total of 843 matched individuals, 406 (48.2%) listed ≥1 pre-residency publication and 494 (58.6%) matched to their first-choice program. The possession of ≥1 pre-residency publications was not associated with matching to a candidate's first-choice program (odds ratio = 0.94 [95% confidence interval = 0.71-1.24], p = 0.66). Similarly, listing ≥2 publications, ≥3 publications, a graduate degree, or an academic presentation was not associated with achieving a first-choice match. CONCLUSIONS: The results provide increased support for the notion that in aggregate, candidate scholarly activity does not influence match outcome. Accordingly, it is recommended that medical student research activities are fostered with the goal to improve their skills as scientists, and not simply to achieve a better residency match outcome.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".