Bibliographic record
Abstract
Abstract A lot of scholarly attention has been given to Aristotle’s account of how and why animals are capable of moving themselves. But no one has focused on the question, whether self-change is possible in plants on Aristotle’s account. I first give some context and explain why this topic is worth exploring. I then turn to Aristotle’s conditions for self-change given in Physics VIII.4, where he argues that the natural motion of the elements does not count as self-motion. I apply those conditions to natural change in plants. Then I explore the reasons for and consequences of Aristotle’s argument that plants are incapable of sensation. I argue that for Aristotle plants cannot possess the directing faculties for self-change, namely, desire and phantasia. My goal is to show why growth, metabolism, and reproduction in plants would not count as self-change for Aristotle, despite many of these natural changes appearing as autonomous as the analogous changes in animals. This sheds light on how, for Aristotle, self-change differs from natural change.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.017 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".