Colloquium 5 The Birds and the Bees: Aristotle on the Biologcial Concept of ἀνάλογον
Bibliographic record
Abstract
In this paper I examine Aristotle’s biological use of the concept of analogy. On the reading I defend, biological analogues are parts that realize the same capacity of soul or occupy a similar location in the animals whose parts they are but are not specific (“more-and-less”) modifications of the same underlying material substratum. The concept of analogy serves two principal functions in Aristotle’s biology. First, Aristotle uses analogy as a tool for classifying animals into separate natural kinds (Part 3). Second, analogy plays an explanatory role in which the same causal explanation is transferred to “φ and its analogue” (Part 4). Here the function of analogy is to group different parts into a single explanatory class unified on the basis of shared causes. One of the upshots of my interpretation is that, while analogical unity may allow us to posit a common explanation for φ and its analogue, it is not grounds for treating the class of animals that possess those parts as a natural kind. For Aristotle, natural kinds are groups whose shared similarities must result from common causes operating on a common material substratum.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".