MétaCan
Menu
Back to cohort
Record W2797349338 · doi:10.5539/ach.v10n2p19

The Pattern of Unique Use of Language: A Case Study in the Greeting Messages ‘Konnichiwa’ and ‘Konbanwa’ on Japanese Mobile Phone E-mail

2018· article· en· W2797349338 on OpenAlexvenueno aff
Noboru Sakai

Bibliographic record

VenueAsian Culture and History · 2018
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsnot available
FundersAustralian Research CouncilUniversity of Queensland
KeywordsMobile phonePhoneComputer scienceInternet privacyEveningAdvertisingUniquenessSimple (philosophy)LinguisticsPsychologyTelecommunicationsSocial psychologyBusiness

Abstract

fetched live from OpenAlex

This study considers the mechanism underlying how people use unique patterns of language use as a greeting message, using Konnichiwa( : good afternoon), and Konbanwa ( : good evening), a simple and common message appearing in Japanese mobile phone e-mail (Keitai-mail), as an example. The data corpus analyzed for this study consists of 43,295 mails for communication purposes from 60 Japanese young people. The result shows that people apply uniqueness in a limited way, and moreover their unique use of language is largely affected by the standard rules of Japanese, including sound information such that as (ha) is pronounced /wa/ (wa).

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.362

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 communication0.0000.000
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 head0.021
GPT teacher head0.262
Teacher spread0.241 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueAsian Culture and HistorySame topicDigital Communication and LanguageFrench-language works237,207