They're Difficult But They Can Make You Better | Protecting Our Inner Fortress From Fear
Bibliographic record
Abstract
Just like the great philosophers (and patient siblings and children and parents) throughout history, we can find wisdom in our difficult relationships. They bring both obstacles and opportunities, challenging us to grow and refine our character.🎙️ Listen to Ryan's live answer in Melbourne on Apple Podcasts, Spotify, & Wondery🎟 Ryan Holiday is going on tour! Grab tickets for London, Rotterdam, Dublin, Vancouver, and Toronto at ryanholiday.net/tour📓 Grab your own leather bound signed edition of The Daily Stoic! Check it out at the Daily Stoic Store: https://store.dailystoic.com/✉️ 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.043 |
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".