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Record W4220654874 · doi:10.1017/s0261143021000660

Locating liveness in holographic performances: technological anxiety and participatory fandom at Vocaloid concerts

2022· article· en· W4220654874 on OpenAlex
Alyssa Michaud

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePopular Music · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsAmbrose University
Fundersnot available
KeywordsFandomLivenessAmateurMedia studiesCitizen journalismSociologyParticipatory cultureVisual artsAestheticsFeelingScreamingArtHistoryPsychologySocial psychologyPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

Abstract This article addresses the growing global phenomenon of automated holographic concerts given by virtual pop stars called ‘Vocaloids’. Alternately acclaimed by music journalists as ‘the future of music’ and derided as ‘a robo-show, a concert simulacrum’, Vocaloid concerts across the past 10 years have sparked feelings of anxiety and prompted debate about the loss of human interaction at pre-programmed concerts. In this article, I extend Vocaloid research from recent work that addresses Vocaloid's creative online community into the middle of arenas of screaming fans, drawing on participant observation, reception history and live performance analysis in order to demonstrate the importance of participatory fandom in Vocaloid culture and its implications for 21st-century concepts of liveness. I argue that the creation of cultural meaning and the most significant interactions occur within the audience itself, when online amateur music-making communities intersect with participatory fandom at live concert events.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.851
Threshold uncertainty score0.321

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.291
Teacher spread0.235 · 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