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Record W1546848542 · doi:10.1002/cb.1526

Download or stream? Steal or buy? Developing a typology of today's music consumer

2015· article· en· W1546848542 on OpenAlex

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

VenueJournal of Consumer Behaviour · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsBrock University
Fundersnot available
KeywordsTypologyDownloadPopularityDigital audioIdentity (music)AdvertisingSociologyPsychographicPreferenceConsumption (sociology)MoralityMusic industryBusinessMarketingAestheticsPolitical scienceLawEconomicsMusic educationArtSocial scienceComputer science

Abstract

fetched live from OpenAlex

Abstract This paper explores the impact that recent transformations in digital music technology (e.g. the increasing popularity of legal streaming platforms) have had on the consumer experience. Following 35 in‐depth qualitative interviews, we have identified four key segments of contemporary music consumers (steadfast pirates, ex‐downloaders, mixed tapes and the old schoolers [the disengaged]) based on a continuum of their preference for illegal music piracy. Examining key themes (e.g. morality, format, value and identity investment) to distinguish each segment, we contribute to a fragmented music piracy literature in particular through the identification of the “ex‐downloaders” and “mixed tape” segments. Previous literature has tended to frame music piracy in very simplistic terms, failing to acknowledge a large number of consumers who are conflicted about their actions and rationalise their piracy in complicated and inconsistent ways related to the broader industry and their own sense of identity as a music consumer. Additionally, the discussion of the ex‐downloader segment provides significant evidence that for a large number of consumers, a policy of participation, in the shape of providing superior alternatives for legal digital music consumption, can be much more beneficial in tackling the problem of piracy than previous strategies of policing and coercion. Managerial and future research implications are discussed. Copyright © 2015 John Wiley & Sons, Ltd.

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)0.001
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 score0.161
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.114
GPT teacher head0.291
Teacher spread0.177 · 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