MétaCan
Menu
Back to cohort
Record W4306960925 · doi:10.1386/iscc_00045_1

Remastering Prince and authenticity: Marketing the posthumous cultural artefacts of a past musical life

2022· article· en· W4306960925 on OpenAlexaff
Sony Jalarajan Raj, Adith K. Suresh

Bibliographic record

VenueInteractions Studies in Communication & Culture · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsMacEwan University
Fundersnot available
KeywordsCommodificationMusicalIconArtCultural historyVisual artsAestheticsPopular musicHistorySociologyAnthropology

Abstract

fetched live from OpenAlex

Hailed as one of the most versatile artists of his time, Prince is marked in history for his revolutionary music that rendered his appearance as a cultural icon across various music aficionados around the world. The posthumous evolution of Prince’s legacy is largely embedded in the reproduction and (re)release of material that not only presents him as a music artist but a commercial product for the market. This created a new cultural space where the reception of an exceptional creative artist found new dimensions, and the commercial value of his musical life became equally important as its cultural and artistic significance. The release of the Super Deluxe Sign o’ the Times 2020 box set is one of the recent evidence of such a situation in which material enacted as cultural artefacts preserves and transposes Prince to a new generation of musical reception. This article analyses the ideas of marketability and authenticity in the contemporary era reception of Prince and its ongoing attempts to appropriate cultural artefacts through commodification and commercialization. It argues that cultural artefacts do not replicate the authentic lived career of Prince but, on the contrary, they reflect the past legacy of an iconic star to maintain his marketability in a new era of music, performance and cultural activities.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.011
Scholarly communication0.0090.008
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.105
GPT teacher head0.321
Teacher spread0.216 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInteractions Studies in Communication & CultureSame topicMusic History and CultureFrench-language works237,207