Bibliographic record
Abstract
Dead Bees records label sampler #10 "DIX" Label Sampler #10 - April 2011 Originally due on 10/10/10, our tenth sampler got a bit delayed. We are sorry about that. This new compilation tracks were gathered last summer for an early batch, and some others were recently added over the past weeks. This very long process got us more tracks than we could include on a single CD, so we had to put some of them aside. This means we already have material ready for sampler #11! This music is to be shared under the terms of a Creative Commons license. Spread this record, make copies of it, and give them away. We will also post it onto various websites, file sharing portals, and non-profit free music, such as Archive.org or FreeMusicArchive.org and more... Our new track providers include: FEDERALE (Portland, Or), THE RUSTY BELLS (Toulouse, Fr), OSTRICH TUNING (Toronto, On), PETE INTERNATIONAL AIRPORT (Portland, Or), THE COBBLESTONES (Paris, Fr), GEORGE (Paris, Fr), TREASURE MAPS (New York, NY), THE DEAD MANTRA (Le Mans, Fr). Most of these artists' records are or will be available from our mail-order. Visit www.deadbees.com for latest release news, shopping, MP3s and feedback.
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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.984 | 0.071 |
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".