Susan Sauve Meyer On Becoming A Better Person With Aristotle
Bibliographic record
Abstract
Ryan speaks with Susan Sauve Meyer about the work of making ancient philosophy accessible in today's world, the insights that she has gained from teaching philosophy to powerful and famous people, what it was like to practice philosophy in ancient Greece and Rome, in what ways Aristotle and the Stoics would have agreed and disagreed, and more.Susan Sauve Meyer is Professor and Chair of Philosophy at the University of Pennsylvania. She holds a B.A. from the University of Toronto and a Ph.D. from Cornell University, and she taught at Harvard University before joining the faculty at the University of Pennsylvania. Her work focuses on Greek and Roman Philosophy and the History of Moral Philosophy, and includes her books Aristotle on Moral Responsibility and Ancient Ethics. Susan teaches a popular online course in philosophy on Coursera, which gained national notoriety when it was attended and praised by pop singer Shakira.✉️ Sign up for the Daily Stoic email: https://dailystoic.com/dailyemail?? Check out the Daily Stoic Store for Stoic inspired products, signed books, and more.?? Follow us: Instagram, Twitter, YouTube, TikTok, FacebookSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.132 | 0.005 |
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; both teacher heads agree on what is shown here.
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".