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Record W2790294467

Irony: Kevin Field, Ron Samsom, Olivier Holland [Compact disc]

2012· article· en· W2790294467 on OpenAlexaboutno aff
KD Field, Ronald Samsom, OS Holland

Bibliographic record

VenueResearchSpace (University of Auckland) · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIronyField (mathematics)Art historyPhilosophyArtLiteratureMathematics
DOInot available

Abstract

fetched live from OpenAlex

The FSH Trio is a collaborative project initiated by Ron Samsom in conjunction with Rattle. Kevin, Ron and Olivier have been the rhythm section of choice for many artists over the last decade, including internationally renowned Nathan Haines. Nathan makes a guest appearance on two tracks. Irony features compositions from all members of the trio, reflecting their diverse cultural backgrounds and wide ranging influences. Olivier sailed to New Zealand from Germany in 2002, in a boat he built himself! Ron arrived from Canada in 2003, while Kevin is a native New Zealander. Having played together for five years, the trio have developed a unique musical identity, rich with intimacy, energy, lucidity and risk, all captured in this exceptional debut recording. The subtle use of melody and dense layers of harmonic and rhythmic complexity balance the buoyancy and fluidity of the music. There is keen interplay between the musicians, and an engaging sense of fun is evident as the conversational elements expand through improvisation. There is enormous generosity between the players, and their dexterity and flexibility brings a dynamic-range and breadth of contrast that gives the music great distinction. Recording engineer Steve Garden captured the performances with clarity, warmth and intimacy, and the resulting sound is deeply attractive.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.001

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 head0.124
GPT teacher head0.252
Teacher spread0.129 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2012
Admission routes1
Has abstractyes

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