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Record W2757648783 · doi:10.1177/2050157917727319

Evolution of Korea’s mobile technologies: A historical approach

2017· article· en· W2757648783 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

VenueMobile Media & Communication · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDigital Platforms and Economics
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsComputer scienceEconomic geographyGeography

Abstract

fetched live from OpenAlex

This paper is to document the evolution of Korea’s mobile technologies. By using a historical approach, which is useful to determine the causes behind the changing processes of new technology, we examine the presmartphone era, focusing on the growth of mobile technologies before the successful launch of Korea’s smartphones in 2009. We divide the presmartphone era into four major periods, including the early mobile technologies period (between the 1980s and 1996), the CDMA period (between 1996 and the early 2000s), the Internet Platform for Interoperability (WIPI) period (2001–2007), and the iPhone period (between 2007 and 2009) before the introduction of locally made smartphones. We investigate multiple causes that led to the rise of the smartphone, both technologies and systems, surrounding the development of the early smartphones by analyzing not only power relations between several major players, such as the government, corporations, and global forces, but also the crucial role of mobile users as customers. We also map out the relationship between socioeconomic transitions and accompanying changes in mobile technologies, which are becoming part of contemporary smartphone technologies.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.001
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 head0.026
GPT teacher head0.219
Teacher spread0.193 · 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