NAISA RADIO "MUSIC, OR NOISE?" BROADCAST 16
Bibliographic record
Abstract
Music, Or Noise? NAISA Radio, New Adventures in Sound Art https://naisa.ca/naisa-radio/ https://naisa.ca/about/ Bepi Crespan brings you a two-hour snapshot of the latest in experimental composition, field recordings, and sound exploration from Canada and around the world. Also. don’t miss Bepi Crespan Presents... on CITR 101.9FM Radio (Vancouver) every Friday at 5 PM EST for difficult music, harsh electronics, cut-up/collage and general CRESPAN© weirdness. 00:00:00 - PHILIPPE PETIT "TOKYOITA" 00:10:27 - PHILIPPE PETIT "ELEGIACALLIY" 00:29:20 - MAURIZIO BIANCHI / SONOLOGYST "FORMA FARRAGINOSA ESTESA" 00:36:56 - FLETINA "LATE SHIFT" 00:54:57 - MATMOS “MUSIC OR NOISE (EXCERPT)” 00:55:22 - CHARLOTTE KEEFE "SOUND BRUSH + SHELL MOBILE (SIMON FISHER TURNER SUBWAY MIX) 01:11:07 - SIMON FISHER TURNER "BLESS YOUR HANDS (PART I + II) 01:16:38 - I.T.W. / SOMA "BRUTICIA II" 01:35:43 - MATMOS “MUSIC OR NOISE (EXCERPT)” 01:36:10 - BOSQUE VACIO "LLUVIA" 01:41:22 - KREYSING / CASTRUP / NEAU "DynAMO (DEDICATED TO D. SUZUKI)" 01:43:57 - KREYSING / CASTRUP / NEAU "FLUID DAYS" 01:51:11 - JON ROSE "SECOND TENDENCY. THE MONOLITH RECORDED 13.1.2023"
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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.827 | 0.080 |
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".