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Record W2091257851 · doi:10.5539/ijel.v4n2p100

Ortho-Stylistic Colorings of Technological Mediated Communication (TMC) Forms; With Reference to Instant Messaging

2014· article· en· W2091257851 on OpenAlexvenueno aff
Hasan Mohammed Saleh Jaashan

Bibliographic record

VenueInternational Journal of English Linguistics · 2014
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsnot available
Fundersnot available
KeywordsInstant messagingComputer scienceContext (archaeology)The InternetSign systemMultimediaWorld Wide WebLinguisticsInternet privacyPsychologyCommunicationHistory

Abstract

fetched live from OpenAlex

This time which is called the information time or the knowledge society, we daily encounter the invention of new types and styles of communications such as computers which become essentially present in our everyday life, and are now available at homes and in offices worldwide. Computer, with its two main shapes (desktops and laptops), has different types such as; PDAs, mobile phones, Blackberries, etc.; and different media like the internet, emails, chat, text messaging and others. We can expect that new ones will be invented. All these types and styles of communication gadgets lead to coining new terms and concepts that can potentially have different interpretations from context to context. These different types and styles of information and communication technologies impact the way people communicate and use language. They also have an impact on the way they read, write, and process information. This lead the Arab internet users like other people worldwide to use new/deviant orthographic forms of language for communication which become the bone of contention among Arab scholars. This paper studies the orthographic and linguistic colorings of instant messages (IM) used by the Saudi and Qatari students. I intend to study this form/register of language linguistically to achieve the following goals; 1) What are the stylistic coloring and orthographic features of this new Arabic forms used in IM communication. 2) The possibilities of applying IM written form on other registers for communication. 3) The controversial views of the Arab scholars about the negative and positive impacts of using this form of a language on standard Arabic.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
models splitAgreement compares identical category sets and study designs across arms.

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)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.997
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.024
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 science0.0020.000
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 head0.018
GPT teacher head0.271
Teacher spread0.253 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Theoretical or conceptual
Domainnot available
GenreEmpirical · Other

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

Citations1
Published2014
Admission routes1
Has abstractyes

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