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Record W6986205884

Outside the Box [HD video]

2015· other· en· W6986205884 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Output (Edinburgh Napier University) · 2015
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsnot available
Fundersnot available
KeywordsJazzDepictionPortraitBluesStudioExhibition
DOInot available

Abstract

fetched live from OpenAlex

HD Video, Silent, Black and White. Duration: 22 minutes.To make this video artwork, the faces of jazz guitarist and composer Haftor Medbøe's quartet were filmed in extreme close-up, as they rehearsed for a performance at the Edinburgh Jazz & Blues Festival.This study of the musicians’ facial tics and tells as they navigate the half-rehearsed landscape of a jazz set is partly a portrait of Medbøe's band, and partly an investigation of the creative process.In the course of a four song set, the unflinching gaze of the cameras give a tantalising glimpse of the agonies and triumphs of creative inspiration, edited into a mute video installation that unfolds in real time.The absence of sound, and of the instruments themselves in the image, creates an isolated and abstract depiction of creativity in the raw.The finished film screens in a loop on a floor-mounted CRT monitor.The work showed as part of "Outside the Box', Paul Holmes's solo show, at Studio 21, Kolkata, June 2015; at the Jazzfest, Dalhousie Institute, Kolkata in November 2015; at the Royal Scottish Academy Open Exhibition in Edinburgh November 2015 - February 2016; and at TMU and Miraikan the National Museum of Emerging Science and Innovation, Tokyo in April 2016.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.116
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.8840.719

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 head0.038
GPT teacher head0.307
Teacher spread0.269 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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