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Record W7032334117

Dulcitone 1804

2024· other· en· W7032334117 on OpenAlexaff

Bibliographic record

VenueHuddersfield Research Portal (University of Huddersfield) · 2024
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicHemiptera Insect Studies
Canadian institutionsCentre for Interdisciplinary Research in Music Media and Technology
Fundersnot available
KeywordsTrilogyDrummerStudioAmateurChamber musicPianoPretext
DOInot available

Abstract

fetched live from OpenAlex

Dulcitone 1804 is the fourth collaborative album by musician-producers Adam Martin and Mark Slater to be released on The Leaf Label, following a trilogy of albums with Matthew Bourne (2018), The Comet Is Coming’s drummer Betamax (2020) and double bassist Tom Herbert (2022). Nightports are reunited with pianist and composer Matthew Bourne, this time exploring a rare 19th century keyboard instrument called a dulcitone. The dulcitone produces sound when felt-covered hammers hit a series of tuning forks, causing them to vibrate - a precursor to the now iconic Fender Rhodes, which took the same concept but was designed for electric amplification. It was invented by Thomas Machell in Glasgow in around 1860 and produced in small quantities for about 40 years. Dulcitone 1804 was produced on instrument number 1804, and is believed to be the first album made entirely on the dulcitone. The album came about almost by accident, when Martin and Slater were at Bourne’s studio working on another project and spotted a small, unassuming instrument against the wall. “As Matthew does with all instruments he plays, the first sounds he made with the dulcitone were immediately beautiful,” Martin explains. “Somewhere between a celeste and a piano, it has a clear, bell-like quality that’s evocative of a strange other world. Something old and distant.”

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.429
Threshold uncertainty score0.815

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.4290.168

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.

Opus teacher head0.076
GPT teacher head0.290
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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