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 top six bands from Toronto. Some might be a little more... specific. Top Six Bands With "Black" In Their Name. A couple of weeks ago I did the "Top Six Songs To Make You Curl Up Into The Fetal Position and Bawl" (you know, tearjerkers) so I figured I had to do the other side of the coin, with happy songs. It's the Top Six That Make You Feel Like Someone Dumped A Box of Kittens On You! Smile along with: "The Yeah Yeah Yeah Song" by The Flaming Lips "Are You Experiencing?" by Rich Aucoin "Cameras" by Matt & Kim "Animal Arithmetic" by Jónsi "Float On" by Modest Mouse "I Like That You Like Books" by Ma Petite 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.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.052 | 0.008 |
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".