Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Each week on the 3am Mixtapes podcast, I will share with you the Top Six Songs of a certain subject. The topics can be as general like best Scottish bands. Some might be a little more... specific. Top Six Songs That End in a Question Mark? And this week is another (in what I hope will become a monthly thing) guest co-host! Aside from people that make music, I wanted people that are in "the biz" to pick some songs, which is why this week I've asked Casey-Jo Loos . And when she's not on-air on 102.7 The Peak here in Vancouver, you can probably find her on the beach, which is this week is the Top Six Beachcombing Songs ! Sit in the surf with: "Red Eyes" by The War on Drugs "The Country Child" by Frog Eyes "Stay Close Until We Reach The End" by Bike for Three! "At Least My Heart was Open" by Foy Vance "Simple Lives" by Krief "Dye" by Tycho Any questions or comments or waffles or criticisms or suggestions for future themes are welcome!
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.
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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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 it