Nightports with Matthew Bourne at St John's Church, Leytonstone
Bibliographic record
Abstract
The long overdue London debut of Nightports (Adam Martin and Mark Slater) with guest musician Matthew Bourne (The Leaf Label). Listen in to music and sound transformed, distorted, translated, processed and reprocessed, stretched, cut, ordered and reordered without limitation. Arctic Circle's Daylight Music has, for over sixteen years, become an important part of London’s live music scene, with a weird and wonderful mix of musicians presenting ideas and storytelling in music and sound. It also offers delicious cake, in some of the most splendid and iconic venues. The daytime series returns to the jazz festival to present the London live debut of Nightports with guest musician Matthew Bourne. The story so far: throughout a series of compelling albums on the Leaf Label producers Adam Martin and Mark Slater’s have adopted a simple but unbreakable rule of restriction: only sounds produced by the featured musician, object or place can be used. Nothing else. These sounds can be transformed, distorted, translated, processed and reprocessed, stretched, cut, ordered and reordered without limitation. They have worked to date with Betamax (drums), Tom Herbert (double bass) and Matthew Bourne (piano and dulcitone). Matthew Bourne is a passionate explorer of sound renowned for his intensely personal solo work with an uncanny ability to balance delicacy and virtuosity, while establishing a close affinity with his audience. Bourne’s first solo studio album, 'Montauk Variations' (The Sunday Times’ Leftfield Album of the Year in 2012), was celebrated for its sense of stillness and serenity, marking an important musical turning point in his career. Following on from their collaboration on the 2018 album Nightports w/ Matthew this recent project delves into the obscure yet beautiful world of the little-known dulcitone for their second album together 'Dulcitone 1804'.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.562 | 0.219 |
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".