Décalage: investigates sonic interactions between organic and synthetically produced ‘real world’ materials.
Bibliographic record
Abstract
Décalage (2008) 6’32 (Fixed media - 8 channels) by Ben Ramsay \n \nProgramme note: Décalage attempts to explore sonic interactions between organic and synthetically produced ‘real world’ materials. The piece is based around recordings of wood and metal in various states of interaction and motion. Unprocessed elements of the original recordings are evident in the arrangement, and are also used as the basis on which the rest of the sounds in the work are derived. \n \nAt the heart of the piece lies a transformation, or shift. The organic gives way to the synthetic. The synthetic becomes acousmatic, and the natural slowly becomes unnatural as all reference to the original sound sources, and environmental cues, are stripped away. Familiar, brittle, erratic sounds, which are present at the beginning of the piece, mutate and give way to a darker, blurred and more vague audio world as the shift towards the synthetic takes place. The mutation from the ‘real’ to the acousmatic is further emphasised as the sounds develop from typical and ordinary to a more sinister, oppressive sound world. \n \nPerformed at: \nToronto Electroacoustic Symposium 2011, Toronto, Canada (12.08.11) \nAustralasian Computer Music Conference 2011, New Zealand (06.07.11) \nElectroacoustic Juke Joint - Delta State University Mississippi ,USA (13.11.09) \nMTI & BEAST exchange, De Montfort University (18.03.09) \n \nAvailable on-line https://soundcloud.com/benramsay/d-calage \nBroadcast worldwide on FOLDOVER radio http://www.timara.oberlin.edu/~tlopez/foldover/index.html
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".