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Record W1800736221 · doi:10.1017/cbo9780511498572.005

Imagination and the Problem of Heredity in Mechanist Embryology

2006· book-chapter· en· W1800736221 on OpenAlexaff
Justin E. H. Smith

Bibliographic record

VenueCambridge University Press eBooks · 2006
Typebook-chapter
Languageen
FieldArts and Humanities
TopicPhilosophy and History of Science
Canadian institutionsConcordia University
Fundersnot available
KeywordsHeredityEmbryologyPsychoanalysisPsychologyAnatomyBiologyGenetics

Abstract

fetched live from OpenAlex

It may seem improper to propose to speak of theories of heredity in seventeenth-century science. The transmission of traits through material units did not become a central topic of concern until the eighteenth century, in, for example, the work of Charles Bonnet and others impressed with Abraham Trembley's discovery in 1741 of the freshwater polyp's ability to regenerate itself from amputated bits – evidence that each bit of an organism carried in it some sort of plan for the organism as a whole. Indeed, in the early seventeenth century the idea of a program or a blueprint that specifies what a developing creature must become is precisely what the prevailing anti-Aristotelian spirit compelled researchers to reject in their accounts of animal development.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.985
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.168
Teacher spread0.147 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations11
Published2006
Admission routes1
Has abstractyes

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