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Online Music Communities and Social Media

2018· book· en· W2794020062 on OpenAlexaff
Janice Waldron

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsOutreachOnline communityThe InternetSociologyFunction (biology)Community buildingMedia studiesSocial mediaPopular musicPublic relationsPolitical scienceWorld Wide WebVisual artsComputer scienceArt

Abstract

fetched live from OpenAlex

Academic debate has long surrounded the term 'community,' first defined as a sociological construct in the late nineteenth century. In the 1990s, widespread Internet use disrupted earlier ideas of what defines and bounds community, but there is now general scholarly consensus that online affinity groups can also function as communities, including those focused on any number of different music genres. In this chapter, I posit that online music communities can function as significant spaces of community music activity. This discussion includes contextualizing the online community by drawing on New Media literature on the evolution of online groups, theories, research, and frameworks of online community; illustrations of practice from current online and convergent music communities; the role of social media in online music communities; online music community as community music outreach; and implications for current and future implications for practice.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0050.010
Scholarly communication0.0110.015
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0210.003

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 head0.075
GPT teacher head0.266
Teacher spread0.191 · 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
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

Citations33
Published2018
Admission routes1
Has abstractyes

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