« Dedi clysterem purgantem » — Haller et la médecine de l’enfance (1731–1736)
Bibliographic record
Abstract
Albert Haller practiced medicine in Berne before being appointed Professor of Anatomy and Botany at the University of Göttingen. From 1731 to 1736, he kept a journal detailing the treatments he prescribed to his approximately 300 patients, 63 of whom were children and adolescents. The journal noted 580 pediatric consultations and detailed the ailments, their progression and applied therapies, allowing the reconstruction of case histories, some of which extended for several years. Through analysis of this data, we attempt to answer the questions such as: What diseases led parents to ask for medical interventions for their children? What were the age cohorts of the group of young patients? At one point did Haller perceive as serious their statements and symptoms/ How frequent were consultations? What were the prescribed therapies? Did he base his conclusions on the value of a child's life attributed by physicians and society of the period?
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".