The Best of Both Worlds: Resident Experiences of Urban and Regional Contexts in a Hybrid Pediatrics Residency Program
Bibliographic record
Abstract
BACKGROUND: The context for specialty residency training in pediatrics has broadened in recent decades to include distributed community sites as well as academic health science centers. Rather than creating parallel, community-only programs, most programs have expanded to include both community and large urban tertiary health center experiences. Despite these changes, there has been relatively little research looking at residents' experiences in these distributed graduate medical education programs. OBJECTIVE: A longitudinal case study was undertaken to explore the experiences of residents in a Canadian pediatrics residency program that involved a combination of clinical placements in a large urban tertiary health center and in regional hospitals. METHODS: The study drew on 2 streams of primary data: 1-on-1 interviews with residents at the end of each block rotation and annual focus groups with residents. RESULTS: A thematic analysis (using grounded theory techniques) of transcripts of the interviews and focus groups identified 6 high-level themes: access to training, quality of learning, patient mix, continuity of care, learner roles, and residents as teachers. CONCLUSIONS: Rather than finding that certain training contexts were "better" than others when comparing residents' experiences of the various training contexts in this pediatrics residency, what emerged was an understanding that the different settings complemented each other. Residents were adamant that this was not a matter of superiority of one context over any other; their experiences in different contexts each made a valuable contribution to the quality of their training.
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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 | 0.003 | 0.004 |
| 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 | 0.001 |
| 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".