Bibliographic record
Abstract
In his Metaphysics Aristotle repudiates the poets’ claim that envy (phthonos) is natural to the divine nature, citing the adage that bards tell many lies (i.2, 982b32–983a4). The repudiation is noteworthy: Aristotle does not normally deny passions to gods or quarrel with poets. Presumably, it is indebted to his view that envy is named in a way that involves badness, is a wicked passion, and something that is felt by those who are bad (N.E. ii.6, 11078a8–13; E.E. ii.3, 1221b18–23; Rh. ii.11, 1388a34–36). Even so, his repudiation provokes several questions. What is Aristotle’s understanding of envy and its wicked nature? How does this sort of badness compare to and contrast with inappropriate realizations of passions such as anger and fear? How do passions relate to the character of those who feel them? Does (and, if so, how does) Aristotle’s understanding of passions’ inappropriateness in ethical matters fit with his understanding of their value elsewhere?
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".