Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Neo-Aristotelian naturalism purports to explain morality in terms of human nature, while maintaining that the relevant aspects of human nature cannot be known scientifically. This has led some to conclude that neo-Aristotelian naturalism is not a form of ethical naturalism in the standard, metaphysical sense. In this paper, I argue that neo-Aristotelian naturalism is in fact a standard form of ethical naturalism that is committed to metaphysical naturalism about moral truths and presents a distinctive and underappreciated argument for it. I reconstruct the neo-Aristotelian argument for ethical naturalism in terms of a continuity between the ethical domain and the natural domain of life. I argue that clarifying the meta-ethical import of neo-Aristotelian naturalism not only helps to situate it among other positions in meta-ethics, but also facilitates better critical engagement with the view.
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.
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 | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.053 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it