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Record W2332670906 · doi:10.1177/1354856514560316

Reimagining smartphones in a local mediascape

2014· article· en· W2332670906 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

VenueConvergence The International Journal of Research into New Media Technologies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaSimon Fraser University
Fundersnot available
KeywordsContext (archaeology)Digital mediaSmartphone applicationAdvertisingSociologySocial mediaLocal communityCommunity engagementMedia studiesMultimediaInternet privacyGeographyComputer sciencePublic relationsPolitical scienceWorld Wide WebBusiness

Abstract

fetched live from OpenAlex

Drawing upon in-depth interviews with young smartphone users, as well as socioeconomic analyses, this study examines a localized media landscape emerging with the smartphone and its applications (apps). With particular reference to young Koreans’ engagement with the popular local app platform, KakaoTalk, the study explores how smartphone technology is reimagined in a local context. The KakaoTalk-scape shows that smartphones and their apps are articulated with community-based local modes of communication and the rhythm of urban space. It also demonstrates that media convergence occurs not only between different media platforms but also between global and local media practices.

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)0.007
metaresearch head score (Gemma)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.882
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0000.001
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 head0.075
GPT teacher head0.412
Teacher spread0.337 · 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