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Record W2090737401 · doi:10.1504/ijwbc.2008.016489

Cyworld is my world: Korean adult experiences in an online community for learning

2008· article· en· W2090737401 on OpenAlexaff
Young Joo Park, Gyeong Mi Heo, Romee Lee

Bibliographic record

VenueInternational Journal of Web Based Communities · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsInformal learningConstructiveContext (archaeology)PerceptionOnline learningMeaning (existential)Relation (database)Social learningProcess (computing)PsychologyComputer sciencePedagogyWorld Wide Web

Abstract

fetched live from OpenAlex

This article introduces Cyworld, a popular online social networking service in South Korea, and explores it as a potential context in which informal learning occurs through social activities and communication. Based on the results of an online survey, this article discusses (a) the nature of social activities in Cyworld in terms of informal adult learning, (b) user perception of online activities in relation to learning, and (c) the relationship between the users' perception of the online activities and their definitions of learning (i.e., learning as acquisition or as reflection). The article concludes that Cyworld appears to be a meaningful context that facilitates informal learning, and that users who emphasise a meaning-making process for learning perceive that mini-homepage activities are both learning-related and constructive.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0040.005
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.206
GPT teacher head0.441
Teacher spread0.235 · 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 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

Citations12
Published2008
Admission routes1
Has abstractyes

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