WHO WAS ANDREAS RETT?
Bibliographic record
Abstract
Objectives: Andreas Rett (1924–1997) is known by the syndrome that bears his name. But who was the person and what was his impact? Objective: To examine Rett's contribution to developmental-neurology, and medical ethics in post-Nazi Austria. Methods: Oral and written information from Rett's daughter, colleagues, newspapers and publications. Results: After medical studies in Innsbruck (1949) Rett trained in pediatrics in Vienna and Zurich. His first publications were on childhood epilepsy and autonomic dysregulation. He published (1964) a detailed description of benign familial neonatal seizures, now known to be caused by mutations in potassium ion-channel genes. Following his thesis on what is now 'Rett's syndrome' he was appointed to the Vienna University. Rett's interests included the social and medical welfare of people with developmental impairments. In 1956 he opened a rehabilitation facility for children with developmental disabilities, to which he moved children with 'hopeless' neurological conditions from asylums like the Steinhof (where the Nazi euthanasia program for children with disabilities had been conducted). He established sheltered work environments, advocated for people with mental retardation and learning disabilities, and explored treatments with music and other healing therapies. He counselled the government on disability issues and voiced his opinions on Nazi racial policies, therapeutic abortions and the sexuality of persons with disabilities. Conclusion: Andreas Rett was not only an astute clinician-researcher who described novel pediatric-neurologic syndromes, but also an advocate and social reformer in post-Nazi Austria, fighting for the rights of children with developmental disabilities a time where there was little sympathy for these children from the medical establishment. His legacy should be celebrated and serve as a basic model for us all.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".