Bibliographic record
Abstract
DIFFUSION AND DIMINUTION Of all the ancient philosophies, Stoicism has probably had the most diffused but also the least explicit and adequately acknowledged influence on western thought. No secular books were more widely read during the Renaissance than Cicero's On Duties ( De officiis ), the Letters and Dialogues of Seneca, and the Manual of Epictetus. Thomas More's Utopians define virtue as 'life in accordance with nature', and this is characteristic of the way slogans and concepts of Stoic ethics were eclectically appropriated from about 1500 to 1750. Neo-Stoicism (capitalized) is a term often used to refer to currents of thought in the seventeenth and eighteenth centuries, and it is quite appropriate to such figures as Lipsius and du Vair. Yet, despite the Stoic traces in Descartes, Spinoza, Leibniz, Rousseau, Grotius, Shaftesbury, Adam Smith, and Kant (traces that modern scholars are increasingly detecting), Neo-Stoicism scarcely had an identifiable life comparable to Medieval Aristotelianism, Renaissance and later Scepticism, seventeenth-century Epicureanism, or Renaissance Platonism and the Cambridge Platonists. It was not determinate enough to mark a whole period or intellectual movement.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.042 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".