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
Dust Particles, Volume Two , is an EP of tracks specially dub tracks, from some of the finest, up-and-coming artists, in the online dub community. Whether selected by Pete Cogle, or specially created for this release. Angel Dust Records presents a very chilled sub selection for your ears to enjoy. Dubsalon is an artist who’s already been played on Pete Cogle’s Dub Zone Podcast , and who also has a full length release: Durban Chamber , on the excellent Id.EOLOGY label based in Germany. Dubsalon provided this track specifically for this release. From Miramar, Argentina, he turns the mixing desk into his favourite musical instrument, combining old-school gear like fx pedals, preamps and compressors with modern space-age electronic equipment, tweaking it all until he makes the dubby magic happen. Pywll Phoenix is a pseudonym for musical productions and performaces by Paul Thomson, of British Columbia, Canada. Born in the early 1980′s, his introduction to underground electronic music and culture in 1998 changed his perspective on how people expressed and explored themselves through music. After experimenting with DJ-ing a few years later, Paul soon realized a desire to compose and produce electronic music. This track was selected by Pete specifically for this release. Stoger , aka Dylan Lustig, is from Brentwood, in the Bay Areas of California, USA. Stoger produced this track specifically for this EP. We think that’s rather cool! You can find Stoger at Facebook, Soundcloud, Reverbnation and lots of other cool places. Down The Dog , aka Savage Henry, is from Tampa, Floria, USA. He describes his activity as “rearranging the sounds I’ve found around me”. This track was selected by Pete specifically for this release
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) | 0.000 | 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) | 0.131 | 0.006 |
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