Freedom Sounds - 01 - Thinner (part 1)
Bibliographic record
Abstract
A selection of tracks from the first 50 releases of the Thinner netlabel ( http://www.thinner.cc ) mixed using Pd. Huge respect and thanks to the Thinner label and the various artists for releasing such good music! Playlist (unfortunately missing a couple of tracks due to issues with my software): [THN016] PVO - Protolith EP - 04 - Core 2 [THN001] VA - Thinnerism 01 - 03 - Digitalverein - Abends am Gasometer [THN047] Marko Fuerstenberg - Gesamtlaufzeit - 12 - Stockhorn (SGI Remix) [THN048] Paul Keeley - Sussex Blue EP - 02 - Lubyu [THN046] Sectorchestra - Fault N Roll EP - 01 - Burning Beaches [THN023] Selffish - Enas - 03 - Beyond [THN049] Baier and Box - Boxing-Unboxing EP - 02 - Binary [THN014] Digitalverein - Zu Hause2 - 05 - Warme Schicht [THN033] Digitalverein - Internal Course - 08 - Your Shade Was You And I [THN008] Dolby - Dub Expo EP - 04 - Outward [THN029] Kazooo - Palermo Beats EP - 01 - Multiplied Together [THN041] Chronolux - The Manila Context EP - 02 - Returning [THN005] Rktic - Northern Lights - 04 - The Opposite Of [THN020] Nulleins - Freeway EP - 03 - Cruise [THN025] Pete Larsen - Berlin Calling EP - 03 - City Highway [THN030] VA - Montrealers - 07 - Falter - Mimer [THN031] Marko Fuerstenberg - Option EP - 02 - Option22 [THN006] Nulleins - Cyclism EP - 04 - Pilafs Sleepy [THN002] Dupont - Subtle Sample Sewing EP - 02 - Jam Then Clap [THN026] Benfay - Bergflanke EP - 01 - Bluegill [THN007] Benfay - Carbon EP - 02 - Bonnie Mandarin [THN012] Benfay - Nitron EP - 02 - Rheas Blues [THN036] And Id - After Five EP - 03 - Plus [THN050] VA - I Like To Listen - 07 - Tristen Polar - Model Citezen [THN003] Karsten Hammer Hansen - Elektric 01 EP - 02 - Drift [THN019] Neurotron - The Light Of Other Days - 02 - Texture Of You [THN015] Dolby - Midnight EP - 02 - Red 4 [THN042] Eloi Brunelle - Montreal Night Grooves EP - 01 - Moch5 [THN017] Digitalverein - Zu Hause2 Remixes - 07 - Treppe Nach Unten (Dolby Rmx) [THN040] Surphase and Rktic - Norddeutsch EP - 01 - Tidenhub [THN010] VA - Thinnerism 02 - 05 - Sub.Q vs Th0ke - Basictoys (Remix) [THN009] Neurotron - Gesetz Der Ersten Wellenfront - 06 - Deckard [THN035] Breitbannt - Back from Exile EP - 01 - Lost On The 2nd Lane Of ... [THN004] Curse - Resolved EP - 02 - Veja Due [THN028] Niels Jensen - 77 - 04 - Whys [THN018] Digitalverein - Zu Hause2 Variationen - 04 - 3rd and 6dis (DKs Deep Var.) [THN039] VA - Silent Season Dub - 11 - Taho - The River Of Grace
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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.628 | 0.017 |
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".