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Record W1985950829 · doi:10.1258/jmb.2010.010025

The Croonian lectures of 1917: a McGill pathologist confronts the biologists of England

2010· article· en· W1985950829 on OpenAlexaboutno aff
Mike Buttolph

Bibliographic record

VenueJournal of Medical Biography · 2010
Typearticle
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNew englandPathologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

John George Adami (1862-1926) qualified in medicine at Manchester and in 1892 was appointed professor of pathology at McGill University. At the invitation of the Royal College of Physicians (in London) he delivered the Croonian Lectures in 1917. He chose the title 'Adaptation and disease; the contribution of medical research to the study of evolution'. Adami believed that medical work had brought to light important facts about heredity that had not been communicated adequately to biological scientists. He used the lectures to describe this work, placing particular emphasis on his contention that acquired characters are inherited. At this time the medical audience at Adami's lectures would have been generally sympathetic to the idea that acquired characters can be inherited, though many leading British biologists were not sympathetic. Adami hoped that a concise review of the medical findings would persuade the biologists to his point of view or at least would be the starting point for a serious discussion of his evidence. However, the biologists were not persuaded and, although there were acrimonious personal exchanges, there was no scientific debate.

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)0.006
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.014
GPT teacher head0.307
Teacher spread0.293 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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