Eugenics and Racial Biology in Sweden and the USSR: Contacts across the Baltic Sea
Bibliographic record
Abstract
The 1920s saw a significant exchange between eugenicists in Sweden and the young Soviet state. Sweden did not take part in World War I, and during the years following immediately upon the Versailles peace treaty, Swedish scholars came to serve as an intermediary link between, on the one hand, Soviet Russia and Weimar Germany, and, on the other hand, Western powers. Swedish eugenicists organized conferences, lecture tours, visits, scholarly exchanges, and transfers and translation of eugenic research. Herman Lundborg, the director of the world's first State Institute of Racial Biology, was an old-fashioned, deeply conservative, and anti-communist "scientific" racist, who somewhat paradoxically came to serve as something of a Western liaison for Soviet eugenicists. Whereas the contacts were disrupted in 1930, Swedish eugenicists had a lasting impact on Soviet physical anthropologists, who cited their works well into the 1970s, long after they had been discredited in Sweden.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.025 | 0.018 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".