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Record W2741421314

CRITICAL PERSPECTIVES ON KOREAN DIGITAL AND SOCIAL MEDIASCAPES

2014· article· en· W2741421314 on OpenAlexaff
Kwang-Suk Lee, Damien Spry, Dal Yong Jin, Kyong Yoon, Florence Chee

Bibliographic record

VenueAoIR Selected Papers of Internet Research · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsUniversity of British Columbia, Okanagan CampusSimon Fraser University
Fundersnot available
KeywordsPopularitySocial mediaScholarshipDigital mediaPublic relationsSociologyThe InternetMedia studiesContext (archaeology)Sociocultural evolutionSocial movementPopular culturePolitical scienceWorld Wide WebPoliticsHistoryComputer science
DOInot available

Abstract

fetched live from OpenAlex

In the last couple of decades, Korea’s digital and social media has become a major force in transforming Korean society, where information and communication technologies are pervasive throughout. Some activists have been using digital and social media as an essential form of mobilization in the public sphere. Meanwhile, corporations driving the cultural industries have utilized digital and social media as a new outlet for the global prominence of Korean popular culture around the world in their myriad forms. The popularity of Korean cultural products, including K-pop, Korean dramas, and digital games in the domestic and global marketplace is evident in recent sensations such as the hit “Gangnam style,” which is still the most viewed YouTube video in history. These activities and practices have asked us to think over the primary role of digital and social media in what is consistently the world’s most networked society both socially and in terms of internet access. This panel considers the role of these technologies in the development of a new form of global youth culture. It is a critical exchange of dialogue and scholarship that involves analyzing the critical role of digital and social media in the Korean context, providing an interdisciplinary model for research in this sociocultural milieu.

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 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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.584
Threshold uncertainty score0.779

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.030
GPT teacher head0.375
Teacher spread0.345 · 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 teacher head, not a consensus.

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

Citations0
Published2014
Admission routes1
Has abstractyes

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