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
The Sound Projector Radio Show Friday 8th July 2016 Large Unit , ‘Circle In The Round’ From Ana , NORWAY PNL RECORDS PNL033 CD (2016) Serge Baghdassarians / Boris Baltschun / Burkhard Beins , ‘n-eck’ From Future Perfect , RUSSIA MIKROTON RECORDINGS MIKROTON CD 49 (2016) Dredd Foole , ‘Turn Turn (Turn)’ From In Quest Of Tense , USA FEEDING TUBE RECORDS FTR 213 LP (2015) Recorded in 1993. Chris Abrahams , ‘Receiver’ From Fluid To The Influence , AUSTRALIA ROOM40 RM464 LP/CD (2016) Ben Lawless , ‘Luau Luau’ From Friday Night For Life , USA OLD GOLD OG2014 LP (2014) Mark Kate , ‘Sister Hyde’ From Despairer , USA FAILING FORMS FF02 CD (2016) Manas , ‘Encounters’ From Manas , USA FEEDING TUBE RECORDS FTR 208 LP (2015) Tetrix , ‘Have You Ever Seen The Rain’ From Tetrix 14 , CANADA NO NUMBER CD (2016) Ruth Garbus , ‘Tarp Face’ From Rendezvous With Rama , USA FEEDING TUBE RECORDS FTR 191 LP (2014) Ryu Hankil, Noid, Matija Schellander And Others , ‘Rockbund Art Museum / Shanghai / Nov. 2nd 2013’ From Foreign Correspondents , RUSSIA MIKROTON RECORDINGS MIKROTON CD 43/44 (2016) Antanas Rekasius , ‘Musica Dolente E Con Brio I, II’ From Fonogramatika , LITHUANIA MUSIC INFORMATION CENTRE LITHUANIA MICL CD 089 (2016) eRkim , ‘Ventoline & Berotec’ From L’Art De La Fuite , FRANCE SONORIS LP01 LP (2015)
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) | 0.532 | 0.030 |
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