Société Mutuelle d'Autopsie, American Anthropometric Society, and the Wilder Brain Collection
Bibliographic record
Abstract
CONTEXT.—: In the late 19th century, mutual autopsy societies formed, first in Paris, France (1876) and later in Philadelphia, Pennsylvania. Members, who were often a who's who of anthropologists, physicians, intellectuals, and highly accomplished citizens, pledged to submit their bodies for autopsies to be performed by living society members so that their brains could be weighed and surface topography studied, with the results to be correlated with the decedents' intelligence and personal strengths during life. OBJECTIVE.—: To explore the short history of these societies, the science they produced, and their extensive newspaper coverage in the United States. DESIGN.—: Available primary and secondary historic sources were reviewed. RESULTS.—: The Société Mutuelle d'Autopsie in Paris and the American Anthropometric Society in Philadelphia had different motives, as the former was heavily influenced by French Third Republic politics and secularism. The American press provided titillating coverage of both and was particularly fascinated by scandals. In America, Burt Wilder formed a splinter group and established the Wilder Brain Collection at Cornell University. In a period where many anthropologists were making untrue claims that brain and skull measurements were largely determined by race and sex, Wilder and Franklin P. Mall of the Wistar Institute in Philadelphia independently published carefully conducted studies proving this was not the case. CONCLUSIONS.—: Mutual autopsy societies and brain clubs conclusively established that brain weight was not an accurate predictor of intelligence but accomplished little else; they were phased out shortly after World War I but are the predecessor to modern-day brain banks.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.014 | 0.012 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".