Bibliographic record
Abstract
Derek Simpson produced all recordings featuring the Crew. The Crew recordings took place in Vancouver and Tokyo. The Crew musicians are generous and kind, helping bring these songs to life. With respect, thank you! The Crew: Derek Simpson: Drums, Synths, vocals Taylor Gervais: Bass, guitars Andrew Persoon: Piano, electric guitar Leif Henderson: guitars Campfire Bob: Vocal, acoustic guitar Kaj Falch-Neilsen: Acoustic guitar, vocals Recordings not performed by the Crew are recorded by Kaj Falch-Neilsen at Bluelight Studio in Vancouver, Canada. Kaj plays most of the instruments and sings harmony. Thank you Kaj for your help and support. Un grand merci à Kaj Falch-Nielsen et The Crew avec Derek Simpson. Sans l'aide de Kaj, Derek, et The Crew, ma musique ne pourrait pas être présentée de cette façon! Campfire Bob Youtube channel: http://www.youtube.com/@CFB4U Above songs are © and ℗ by Campfire Bob/LKU Music. You can find more musician and studio details on the Campfire Bob Youtube channel.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.101 | 0.014 |
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".