Translational pediatrics: reflections for the 21st century and beyond
Bibliographic record
Abstract
Guido Fanconi is probably one of the most famous pediatricians and can be easily considered the founder of Modern Pediatrics in many aspects. Professor Fanconi was not only a Swiss pediatrician but one of the most reliable and authentic personalities in the field of pediatrics spanning at least the last two centuries (1,2). Born in Poschiavo, a municipality in the Bernina Region of Switzerland, in an initially wealthy family but disgraced in poverty after the Spanish-American war, Fanconi grew up in a small community of his hometown in the Canton of Grisons. He fought to become a physician due to several challenges in his life but reached such a professional level to give his name to several conditions and diseases in pediatrics. Fanconi was a determined medical student who started his career as a pathologist and physiologist with excellent knowledge of pathology, physiology, and biochemistry, of which the last was probably crucial for his success in medicine. The polyglot Fanconi entered the Universitts-Kinderspital Zrich (Children's University Hospital of Zurich, Switzerland) in 1911 and remained in this institution for almost 45 years. At the astonishing age of 37 years, he became the chairman and head of the Kinderspital despite some growing rumors that he was more interested in research and biochemistry than truly possessing outstanding clinical skills to manage the chair position at the Universitts-Kinderspital Zrich. These rumors were proven blatantly false because the Kinderspital became one of the most prominent pediatric hospitals worldwide under his direction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.015 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.011 | 0.017 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.013 | 0.031 |
| Insufficient payload (model declined to judge) | 0.017 | 0.007 |
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".