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Record W2149704867 · doi:10.1353/cjp.2007.0025

Teleology Without Tears: Aristotle and the Role of Mechanistic Conceptions of Organisms

2007· article· en· W2149704867 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCanadian Journal of Philosophy · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicClassical Philosophy and Thought
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTeleologyEpistemologyNatural (archaeology)Context (archaeology)Natural philosophyPhilosophyAncient GreekAncient philosophyField (mathematics)History

Abstract

fetched live from OpenAlex

In this paper I outline a role for mechanistic conceptions of organisms in ancient Greek natural philosophy, especially the study of organisms. By ‘mechanistic conceptions’ I mean the use of ideas and techniques drawn from the field of mechanics to investigate the natural world. ‘Mechanistic conceptions’ of organisms in ancient Greek philosophy, then, are those that draw on the ancient understanding of the field called ‘mechanics’ — hê mêchanikê technê —to investigate living things, rather than those bearing some perceived similarity to modern notions of ‘the mechanical.’ I have argued elsewhere that evidence of mechanistic conceptions of the natural world can be found, not only among seventeenth and eighteenth century ‘mechanical philosophers,’ but also—albeit in vestigial form — in some ancient Greek texts. Unfortunately, these reports are slight, often by detractors of this approach, and offer only clues as to the motivational context for employing these mechanical conceptions. Here, my purpose is to suggest what role they might have played in the history of natural philosophy.

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.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.584
Threshold uncertainty score0.612

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)0.0010.000

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 head0.015
GPT teacher head0.203
Teacher spread0.188 · 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