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Record W1754500077 · doi:10.3138/cbmh.31.1.41

Eugenics and Racial Biology in Sweden and the USSR: Contacts across the Baltic Sea

2014· article· en· W1754500077 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Health History · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsnot available
Fundersnot available
KeywordsEugenicsCommunismState (computer science)TreatyWorld War IIPolitical scienceNazi GermanyCold warSociologyEconomic historyGender studiesEthnologyHistoryLawPolitics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.069
GPT teacher head0.303
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it