Bibliographic record
Abstract
Subatomic Time is a 35-minute performance piece for percussion, live audio processing, and live video mixing. The work is in seven sections: Small Science, RGBongo, Maquette XV, Marimba Stretch, Particle Zoo, Pin Music, and Zoom Out; Small Science and Maquette XV are without video and performable as concert pieces for percussion. The titles of the piece and of the various sections reflect the central notion of extremes of spatial and temporal scale; parallels are drawn between camera-related techniques (zoom, focus, pan, colour saturation) and audio processing (amplification, reverberation and filtering, spatialization, spectral manipulations). Aural and visual material is presented sometimes in parallel, sometimes in counterpoint, and sometimes heterophonically. The full version of Subatomic Time was premiered in Windsor, Ontario and subsequently presented at the Percussive Arts Society International Conference in Austin Texas (November 2012) and at the Festival des musiques de creation in Saguenay Quebec (May 2015). Filmmaker Kim Nelson made a documentary performance film of Subatomic Time based on the 2012 performances.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.118 | 0.019 |
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".