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Record W1572916741 · doi:10.3968/4305

The Sociolinguistics of Persian SMS: Ways to Identify Age Limits

2014· article· en· W1572916741 on OpenAlexvenueno aff
Moslem Zolfagharkhani, Zahra Khosrovazad

Bibliographic record

VenueHigher education of social science · 2014
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsnot available
Fundersnot available
KeywordsSociolinguisticsInterpersonal communicationStyle (visual arts)PersianPsychologyLinguisticsFunction (biology)Social groupComputer scienceSocial psychologySociologyHistory

Abstract

fetched live from OpenAlex

A kind of social system which eases communication is language. Any form of language is very important for different types of communication: interpersonal and inter-group. A form of this social system is short messaging system (SMS) or texting which has been used increasingly since 1990’s. Text messaging, as a language style, is used in everyday life to maintain social networks, to regulate events and to help entertain oneself in the open moments of one’s day. This paper thus examines the SMS style of language communication between two groups of young and middle-aged people. Thirty messages are taken randomly from 10 cell phones (five from each group). Then we analyze the effects of the writers’ characteristic (age) on message length (number of words), dialogue structure (with or without an opening and a closing), and message function (informative vs. relational) to investigate variations among these two age groups. The paper concludes that a significant difference is found between young and middle-aged texters’ linguistic properties.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.037
GPT teacher head0.352
Teacher spread0.315 · 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 designTheoretical or conceptual
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
Published2014
Admission routes1
Has abstractyes

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