Bibliographic record
Abstract
If you need money and success to live well, then you're vulnerable to things not going well.💡 The Wealthy Stoic: A Daily Stoic Guide to Being Rich, Happy, and Free explores how stoic ideas can be applied to personal finance, wealth-building, financial mindset, and how it can help you overcome common financial obstacles and challengesGet The Wealthy Stoic: A Daily Stoic Guide to Being Rich, Happy, and Free & all other Daily Stoic courses for FREE when you join Daily Stoic Life | dailystoic.com/life🎟 Ryan Holiday is going on tour! Grab tickets for London, Rotterdam, Dublin, Vancouver, and Toronto at ryanholiday.net/tour✉️ Want Stoic wisdom delivered to your inbox daily? Sign up for the FREE Daily Stoic email at https://dailystoic.com/dailyemail🏛 Get Stoic inspired books, medallions, and prints to remember these lessons at the Daily Stoic Store: https://store.dailystoic.com/📱 Follow us: Instagram, Twitter, YouTube, TikTok, and FacebookSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.019 |
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".