DJ Nerd42 - Dozens, Nay Severals Of DJ Nerd42 Fans Can't Be Wrong (TDC032)
Bibliographic record
Abstract
#43 DJ Nerd42 Dozens, Nay Severals Of DJ Nerd42 Fans Can't Be Wrong Release Date: 10-16-2010 Catalog #: TDC032 01. Beatles In Black 02. We Will Wock You (sk00l Kid Mix) 03. Daft Wash (Extended Mix) 04. Hardware Store Axel F (Version 2) 05. Canadian Chocobo (Mambo de Remix) 06. Stronger Voltage 07. Everybody Dance Frgt10 08. There They're Nerdy 09. Remember What You Say 10. iJoe 11. Bittersweet Genesis 12. Give It To Me Yeah (aka The Annoying Song That's Stuck In My Head From The Stupid Radio) 13. Gold Digga 14. GoCrazy2 (Acoustic Remix) 15. 5 More Miles 16. What I've Divided 17. Ends Goin' Down 18. Get Me Listening (Version 2) 19. White & Nerd42 (White & Nerd43 Mix) 20. Numb42 (Extended Mix) 21. Look Out World (Live) 22. Ultimate Somebody 42. Techno Yeah Faint Artwork by: Zach Bridier All releases are under the Creative Commons License. www.getsomerecords.com www.facebook.com/getsomerecords
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) | 0.000 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.039 | 0.000 |
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; a candidate call from one teacher head, not a consensus.
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".