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William Bateson, black slavery, eugenics and speciation: The relative roles of politics and science

2024· article· en· W4402943316 on OpenAlexaff
Donald R. Forsdyke

Bibliographic record

VenueBiosystems · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRace, Genetics, and Society
Canadian institutionsQueen's University
FundersRoyal Society
KeywordsEugenicsGenetic algorithmPoliticsSociologyEpistemologyEvolutionary biologyPhilosophyBiologyGeneticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

The peace of the world is challenged by societal confrontations that can often be labeled “racial” or “ethnic.” Emblematic of this is discrimination based on skin colour. William Bateson's background suggests sympathy with the black emancipation movement. Yet the movement's success is attributed more to battles between political figures than between scientists with contending views on the biology of racial differences. However, in the long term, Bateson's contributions to slavery and eugenic issues may be seen as no less important than those of politicians. Mendel's discovery of what we now know as “genes” languished until seized upon by Bateson in 1900. For six exhausting years he struggled to win scientific acceptance of these biological character-determining units. Later, he pressed the Mendelian message home to the general public, opposing simplistic applications of Mendelian principles to human affairs, and arguing that minor genic differences that distinguished “races” – e.g. skin colour – do not initiate new species. Bateson praised the “physiological selection” speciation hypothesis of Darwin's young research associate, George Romanes. This enthusiasm was rekindled by Robert Lock and formulated in modern terms with C. R. Crowther. Thus, the spark that initiates a divergence into two species can be non-genic. This normal form of hybrid sterility, based on genome-wide DNA sequence differences, operates on, but has not succeeded in dividing, the human species. It should not be labeled “idiopathic,” and be clearly distinguished both from pathological sterility and undiagnosed sterilities that may prove to be pathological. We are one reproductively isolated population, the human species. • As With Steve Jobs, Bateson's science had immense political implications. • The underlying issues triggered both civil (19th century) and world (20th century) wars. • In 1900 Bateson brought Mendel's work in “genes” to world attention. • While genes control skin colour, they have not sparked new human species. • To this day, words like “mulatto” confuse our thinking on hybrid sterility.

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)0.003
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.010
Scholarly communication0.0050.008
Open science0.0010.002
Research integrity0.0080.012
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.008
GPT teacher head0.239
Teacher spread0.231 · 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
Published2024
Admission routes1
Has abstractyes

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