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Record W4220808377 · doi:10.1007/978-3-030-94964-8_4

K-pop Diaspora

2022· book-chapter· en· W4220808377 on OpenAlexaff
Kyong Yoon

Bibliographic record

VenueEast Asian popular culture · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsMainstreamDiasporaEthnic groupHomelandGender studiesFeelingSociologyAestheticsMedia studiesHistoryArtPolitical scienceAnthropologyPsychologySocial psychologyPoliticsLaw

Abstract

fetched live from OpenAlex

Abstract For young Korean Canadians, K-pop (Korean idol pop music) is presented not only as an ethnic media form but also as a highly global media practice. The diasporic youth’s consumption of K-pop may partly fulfill their cultural nostalgia and contribute to enhancing their ethnic ties with their ancestral homeland. Moreover, they appreciate K-pop as a global sound that is considered to be youthful, kaleidoscopic, hybrid, and relatable. While feeling ethnic and cultural affinities with K-pop, the diasporic youth engage with this genre as a cultural resource for questioning the mainstream cultural frame that takes Whiteness as a norm for granted.

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)0.000
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 score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.004

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 head0.024
GPT teacher head0.268
Teacher spread0.244 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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