Fifty years of research at the Janeway Children’s Hospital
Bibliographic record
Abstract
To the Editor, This year marks the 50th anniversary of the Dr Charles A. Janeway Children’s Hospital in St. John’s, Newfoundland and Labrador (NL). This occasion allows us to celebrate the over three generations of children who have received care there. It is also an opportune time to reflect on the successful research that has been conducted at the hospital. Early in the Janeway’s history, through its connections with Memorial University of Newfoundland, clinicians and researchers identified the need to conduct local paediatric research. Since then, the hospital’s staff and faculty have produced hundreds of research publications on a wide range of children’s health topics. Early research pioneers include Dr M. Kutty, who studied lipoprotein metabolism; paediatric radiologist Dr Benvon Cramer; and Drs Wayne Andrews, James Friel and Khalid Aziz who conducted neonatology research. Based on her work in the 1970s with a small group of children with unique dysmorphology, Dr Penny Allderdice and her team were the first to identify the genetic conditions related to chromosome 3 duplication q21, which came to be known as Allderdice syndrome (1). Several other genetic conditions have been identified through work at the Janeway and Memorial University, including arrhythmogenic right ventricular cardiomyopathy which affects about 1500 people in NL who have a gene that puts them at high risk for sudden cardiac death (2), and Dr Paul Dancey’s work in helping to identify and treat deficiency of the interleukin-1-receptor antagonist, the discovery of which illustrates the importance of careful clinical observation in fostering innovation (3).
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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 | 0.011 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.009 | 0.015 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
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".