Bibliographic record
Abstract
Archipel is proud to bring you the second installment of its Assignment series, this time with "Assignment 2: Time." Just as with its CD counterpart, the idea of Assigment 2 was to bring together two artists and have them each collaborate on a track with each other using samples from Archipel's Sample Pack 2. Leif and Mateo Murphy kick off the web compilation with a sparse and driving off beat skitter scatter of groovy and swinging sounds. Le Cantin and Kabale Und Liebe take things into a shadowy and wavy realm of deep sea echoes and breezy soundscapes. Anonym and Leander Kruese bring you an hypnotic depth charge of a track which just sucks you in and doesn't let you go until you've recieved its message. Receptor and Scant Intone bring out the strange and wobbly with their collaboration of rolling digital coughs and burps. Benfay and Doxa take things to a funkier clubby setting with their bubbling acidic collaboration. Ditch and DNCN bring you into a darker realm where the sound of shadows make themselves known far into the late night. Pheek and Bored of Canada take us all into an area where we totally lose our foothold on the world and lose our minds in a world of squidgy weirdness with a strong backbone. While Navarro and Des Cailloux et du Carbone finish things off in a warm twitching puddle of glowing liquid.
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) | 0.776 | 0.020 |
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".