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Record W3199453211 · doi:10.1177/20570473211046733

The BTS sphere: Adorable Representative M.C. for Youth’s transnational cyber-nationalism on social media

2021· article· en· W3199453211 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

VenueCommunication and the Public · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsNationalismCyberspaceXenophobiaConstructiveMedia studiesFandomSocial mediaContext (archaeology)SociologyGender studiesPolitical scienceThe InternetLawHistoryComputer scienceRacismPoliticsWorld Wide Web

Abstract

fetched live from OpenAlex

BTS fandom has been one of the strongest, and many Adorable Representative M.C. for Youth members have dedicated themselves to protect BTS from numerous controversies, while promoting the group’s messages, which can be identified as cyber-nationalism. By employing a critical discourse analysis on BTS fans’ social media posts and their online activities surrounding a few incidents, this article attempts to develop cyber-nationalism in the context of the BTS fandom. It investigates the formation of transnational cyber-nationalism, and then discusses how Adorable Representative M.C. for Youth members as citizens in the BTS nation utilize cyberspace, in particular, social media, not only to form alliances but also to protect BTS from any critical points of view. Finally, it articulates how transnational cyber-nationalism in tandem with BTS has shifted the notion of cyber-nationalism, which can be identified as negative, even patriotic parochialism, into constructive and socio-culturally corrected cyber-movements.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
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 head0.104
GPT teacher head0.354
Teacher spread0.251 · 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