Bibliographic record
Abstract
In 1991 I wrote a short article comparing three ‘live electronic’ ensembles based in the UK and active in the late 1960s and 1970s (one into the 1980s) (Emmerson 1991). It was only in the final stages of preparation of this paper for presentation at the EMS05 conference in Montreal that I realised that the death of Hugh Davies on 1 January 2005 meant that a key member of each of the three ensembles was no longer with us. This article is thus dedicated to Barry Anderson (1935–1987, founder and director of the West Square Electronic Music Ensemble), Tim Souster (1943–1994, co-founder of Intermodulation) and Hugh Davies (1943–2005, founder member of Gentle Fire). The fact that they can no longer describe, elucidate and explain the repertoire that they created is directly pertinent to this paper. While its practitioners must inevitably (though hopefully not so prematurely) move on, as we celebrate Mozart's 250th birthday with performances of the vast majority of his compositions, we must ask ‘in what form live electronic music can live on’
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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.023 |
| Scholarly communication | 0.014 | 0.024 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.010 |
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".