Bibliographic record
Abstract
When considering electronic dance music culture (EDMC) -not as an object of study in the world, but as a description, a concept itself -the variables of the phrase come under some pressure. Need EDMC be electronic, as if electrons alone define the production aesthetic, "made by electricity"? Or need the electron signal the sound, as the 1990s defined quasi-genre "electronica" suggests by way of its inaccuracy (what recorded music isn't electronic in the 21C)? 1 And need EDMC be dance music, insofar as such a distinction would exclude prone modes of body listening found everywhere, in ambient music chill rooms, as well as the focused attention of the elongated ear to be found at contemporary experimental music performances from microsound to noise? And, in the case of noise, or other frequency experimentation, including the use of all-sound or silence -and one thinks here of the lasting influence of John Cage in experimental electronic music from embracing percussion as the means to all-sound to random chance operations to improvisation 2 -can we say that sonic experimentation need be conceptualised as music? In what sense? Finally, what bounds the three signifiers above into a culture?
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.013 | 0.049 |
| Scholarly communication | 0.020 | 0.026 |
| Open science | 0.001 | 0.016 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".