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Record W2892930447 · doi:10.11647/obp.0144.08

8. Science of the Future: With and Without Galton

2018· book-chapter· en· W2892930447 on OpenAlexfundno aff
Nikolai Krementsov

Bibliographic record

VenueOpen Book Publishers · 2018
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicScience and Climate Studies
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsGalton's problemMathematicsStatistics

Abstract

fetched live from OpenAlex

The concluding chapter examines the implications of the peculiar history of eugenics in Russia, as seen through the biography of Florinskii’s treatise, for the understanding of the history of eugenics writ large, illuminating its protean nature, its multiple local trajectories, and its global trends, as well as its continuing and contested appeal to very diverse audiences. To date, Human Perfection and Degeneration was published five times—in 1865, 1866, 1926, 1995, and 2012. Galton’s Hereditary Genius (together with his article ‘on men of science, their nature and their nurture’) was translated into Russian in 1874, nine years after the first appearance of Florinskii’s treatise, and to this day, it remains the only work of the ‘founding father’ of eugenics available (in its 1996 facsimile edition) to Russian readers. The contrasting yet intertwined fates of Galton’s and Florinskii’s concepts in Russia strongly suggest that what we habitually call eugenics is a time- and place-specific amalgam of certain ideas, values, concerns, and actions regarding human reproduction, heredity, diversity, development, and evolution. What united various ‘national’ versions of eugenics and shaped its subsequent local trajectories and global trends was an explicit preoccupation with the future, which linked the problematics of eugenics with the fundamental existential questions of human nature and human destiny: who are we, where did we come from, and where are we heading? Fused into all of its local variations, the possibility of ‘controlling’ humanity’s future through active intervention in human reproduction, heredity, development, and evolution made eugenics repelling or appealing to multiple audiences. The dates of repeated reissuing of Florinskii’s treatise, as well as the intervals that separate them, reflect not merely the internal dynamics and local imperatives of the development of eugenics in Russia. They also point to the waning and waxing popularity of eugenics world-wide, spurred by certain concurrent ‘global’ social and scientific developments, ranging from industrialization and Darwinian revolution to World War I and the rise of experimental biology and from World War II and the emergence of molecular biology to the ‘end’ of the Cold War and the inauguration of the Human Genome Project. A heated debate on ‘genetics and eugenics’ at the 1962 London symposium ‘Man and his Future’ puts into sharp relief the interplay of scientific and social factors that made, and continue to make, eugenics a subject of intense interest and an inexhaustible source of both hopes and fears regarding human nature and humanity’s future.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.040
Scholarly communication0.0120.017
Open science0.0010.007
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.236
Teacher spread0.223 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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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