Review of _Aristotle on How Animals Move: The De incessu animalium: Text, Translation, and Interpretative Essays_, edited by Andrea Falcon and Stasinos Stavrianeas
Bibliographic record
Abstract
Aristotle's De incessu animalium (IA) or On the Progression of Animals is a short treatise on the 'parts that are useful to animals for motion with respect to place' (704a4-5; translation from Falcon & Stavrianeas).Unlike related texts, such as On the Motion of Animals (MA) or Parts of Animals (PA), IA has received undeservedly little attention.This volume, edited by Andrea Falcon and Stasinos Stavrianeas, is therefore a very valuable addition to the study of Aristotle's biology.Crucially, it contains a new critical edition of IA by Pantelis Golitsis, alongside a collaborative translation.Moreover, the nine essays, together with Falcon's introduction, provide the first recent comprehensive account of the nineteen chapters of IA.The present volume, then, will be the starting point for future research into the treatise and should be of great interest to any reader of Aristotle's biological works.My review will be in three parts: First, I will say more about the structure and content of IA, especially the principles of natural investigation on which the treatise relies.Second, I will discuss the contributors' stances towards the most famous of those principles, namely that 'nature does nothing in vain' (704b15; 708a9-10).Finally, I will turn to specific issues concerning the locomotion of animals, as treated in some of the essays in the collection. De incessu animaliumAt the beginning of MA, Aristotle says with reference to IA: 'Concerning the movement of animals, those features which apply to each kind of them-what their differences are, and for
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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".