Bibliographic record
Abstract
Abstract Some philosophers take the ascetic sage as a test case for the plausibility of theories of welfare. They maintain that attitudinal hedonism entails that the sage lives the good life, since he enjoys meditation, solitude, peace and quiet, and so on. Some of the longest-enduring traditions of asceticism, however, deny that the sage takes attitudinal pleasure in these kinds of things. A group of Upaniṣads aptly named the Saṃnyāsa, or Ascetic Upaniṣads, for example, explicitly states that the sage neither enjoys nor despairs in earthly states of affairs. The attitudinal hedonist might argue that the sage of the Saṃnyāsa Upaniṣads lives the good life nonetheless, since he takes immense and constant pleasure in the ātman– the eternal, immaterial self. The sage's immense and constant pleasure in the ātman, however, also commits the attitudinal hedonist to the stronger claim that the ascetic lives the best life possible. The sage's life seems less than optimal, however, because he enjoys only one thing to the exclusion of all other things.
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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 | 0.002 | 0.002 |
| 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 | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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 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".