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Record W2892401151 · doi:10.11647/obp.0144.07

7. Afterlife: Medical Genetics and “Racial” Eugenics

2018· book-chapter· en· W2892401151 on OpenAlexfundno aff
Nikolai Krementsov

Bibliographic record

VenueOpen Book Publishers · 2018
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsEugenicsAfterlifeMedical geneticsGeneticsGenealogyHistoryBiologyPhilosophyEpistemology

Abstract

fetched live from OpenAlex

The next chapter examines the punctuated life of Florinskii’s book in the late-Soviet and post-Soviet eras. In the early 1970s, Ivan Kanaev, a geneticist-turned-historian, published the first Russian language biography of Galton’s and an extensive analysis of Florinskii’s treatise. This time, however, Florinskii’s tract was presented as a foundational work not of eugenics, but of … medical genetics! References to Florinskii and his book began to appear in popular articles and introductions to the textbooks on the subject. But it took more than twenty years and the dissolution of the Soviet Union, until Florinskii’s treatise was reprinted again in 1995, through the efforts of Valerii Puzyrev, director of the Tomsk Institute of Medical Genetics. In 2012, the book was reissued once more, this time as the opening piece in a ‘reader on Russian eugenics,’ compiled by the self-styled ‘racial encyclopedist’ and ‘bio-politician’ Vladimir Avdeev. This chapter scrutinizes the renewed interest in Human Perfection and Degeneration and explores various factors that contributed to its long quiescence and inspired its new revival in late-Soviet and post-Soviet Russia.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.387
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3880.001

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.

Opus teacher head0.064
GPT teacher head0.283
Teacher spread0.219 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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