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Record W2145670679 · doi:10.1207/s15427439tc1101_05

PC-Bang (Room) Culture: A Study of Korean College Students' Private and Public Use of Computers and the Internet

2003· article· en· W2145670679 on OpenAlexaff
Kym Stewart, Hyewon Choi

Bibliographic record

VenueTrends in Communication · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsThe InternetSpace (punctuation)PsychologyMultimediaComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The purpose of this study was to examine how Korean college students use computers within the PC-Bangs as well as at home. Data on media usage and PC-Bang usage patterns was collected from 291 University of Ulsan students. Results suggest that PC-Bangs are used mainly for game playing and have become a male-dominated play space. Female students, however, tended to use computers at home and for other nongaming activities such as chatting and emailing. Data also revealed that displacement of nonmedia-related activities by PC-Bang usage rarely occurred. However, existence of gaming habits did exist and with the abundance of gaming-related activities available in South Korea, these media-related habits may displace similar activities.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.056
GPT teacher head0.352
Teacher spread0.296 · 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 designObservational
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

Citations46
Published2003
Admission routes1
Has abstractyes

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