From Eugenic Euthanasia to Habilitation of ``Disabled'' Children: Andreas Rett's Contribution
Bibliographic record
Abstract
Although the name of Andreas Rett is familiar to many from his eponymous neurogenetic syndrome, his other achievements involving the care of disabled children deserve special attention. His tireless advocacy helped to bring fundamental changes in the medical and societal attitude toward disabled individuals in a city that had recently seen more than 7500 disabled children and inmates of psychiatric hospitals actively euthanized by National Socialist (Nazi) decree. Most notably, this study demonstrates the remarkable changes that can be achieved single-handedly by a vocal and energetic physician. Yet at the same time, several instances are recorded in which Rett appeared to prioritize his own professional advancement at the expense of truthful disclosure of his own past, as well as that of some of his close associates. Dr Rett's professional life and contributions, now 10 years after his death, presents a compelling object lesson for neurologists and others involved in the care of the disabled.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.001 | 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".