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Record W2014598200 · doi:10.1017/s0007087402004909

Vitalism and teleology in the natural philosophy of Nehemiah Grew (1641–1712)

2003· article· en· W2014598200 on OpenAlexaff
Brian Garrett

Bibliographic record

VenueThe British Journal for the History of Science · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Philosophy and Science
Canadian institutionsYork University
Fundersnot available
KeywordsVitalismTeleologyPhilosophyAppealNatural philosophyEpistemologyNatural (archaeology)The artsEnvironmental ethicsLawHistoryPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

This essay examines some aspects of the early history of the vitalism/mechanism controversies by examining the work of Nehemiah Grew (1641–1712) in relation to that of Henry More (1614–87), Francis Glisson (1599–1677) and the more mechanistically inclined members of the Royal Society. I compliment and critically comment on John Henry's exploration of active principles in pre-Newtonian mechanist thought. The postulation of ‘active matter’ can be seen as an important support for the new experimental philosophy, but it has theological drawbacks, allowing for a self-sufficient nature relatively independent of God. Grew resists this view and, like Henry More, advocates the need for a vital principle to direct material nature towards its ends. I illustrate the connection Grew sees between teleology and vitalism and the paper closes with Pierre Bayle's reaction to Grew's attempt to support his religious commitments by appeal to vital principles. So many Arts, hath the Divine Wisdom put together; only for the hull and tackle, of a sensible and Thinking creature. Nehemiah Grew, Cosmologia

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)0.002
metaresearch head score (Gemma)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.018
Scholarly communication0.0020.005
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.231
Teacher spread0.185 · 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 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

Citations36
Published2003
Admission routes1
Has abstractyes

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