Aristotle’s New Clothes: Mechanistic Readings of the Master Teleologist
Bibliographic record
Abstract
Abstract Aristotle has traditionally been cast as the arch-enemy of all things mechanistic. Given the dichotomy long thought to exist between mechanistic and teleological schools of thought, there is a satisfying irony in discovering veins of apparently ‘mechanistic’ thought within the work of the definitive teleologist. Several waves of scholarship in the past century have argued, from different angles, for mechanistic interpretations of Aristotle’s natural philosophy. The present generation is no exception: in the last decade, Jean De Groot, Monte Johnson, and Tiberiu Popa have variously argued that a mechanistic vein can be found in Aristotle’s work, despite his undeniable teleological credentials. This paper explores the assumptions—some of them open to question—that accompany such advocacy. It will urge some terminological refinements, and turn a skeptical lens on some aspects of these projects. Nonetheless, it will stress that they open promising lines of inquiry, avoiding some of the limitations of earlier ventures into this territory.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.030 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".