Eugenics Visualized: The Exhibit of the Third International Congress of Eugenics, 1932
Bibliographic record
Abstract
SUMMARY: This article investigates the exhibit of the Third International Congress of Eugenics, which was organized by Harry Hamilton Laughlin and showcased at the American Museum of Natural History in 1932. It argues that the exhibit's displays shaped popular eugenic ideology by connecting particular eugenic principles to specific visual representations that were experienced in relation to binaries such as the artistically traditional and the modern, the classical and the grotesque, and the scientific and the spectacle (or the "freak" and the medical specimen). These dichotomies were, in turn, experienced within the context of the exhibit's overall theme of eugenics as anchored in the past and the future and concern over the differential birthrate. The exhibit to the Third Congress provides insight into growing tensions within the eugenics movement of the 1930s, the importance of positive eugenics, the aesthetics of heredity, and how the "scientific truths" of a given era are publicized and perpetuated.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.031 | 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".