Bibliographic record
Abstract
Abstract In this paper, I discuss the various characteristics of Heraclitus’ theory of elemental transformation that can reasonably be gleaned from the extant fragments. While there has been some recent work on Heraclitus’ theory of elemental transformation, there has been a lack of discussion concerning the properties of the particular elements and their relation to the cardinal opposites. In this paper I argue that fragment B126 (“Cold things warm up, warm things cool off; wet things dry up and dry things moisten”) is an explanandum for Heraclitus. It is meant to invoke certain questions in his readers’ minds: How is it that cold things come to hold an opposing property (i. e. “hot”)? What type of change occurs such that a wet thing can become dry? How is it that things hold these properties in the first place? I argue that Heraclitus’ theory of elemental transformation (B31, B36 and B76) is the explanans for B126 and is capable of answering these questions. That is, the observable change evident in B126 is explained by a set of transformations between elemental stuffs. Because of this connection between B126 and his theory of elements, Heraclitus’ theory of elemental transformation is rightly understood as a ‘unity of opposites’ thesis. However, I argue that the transformation of opposites can only be one opposites thesis among several opposites theses.
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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 | 0.003 | 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 | 0.003 | 0.025 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| 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".