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Record W3146838305 · doi:10.5430/ijhe.v10n5p10

Written Network Communication: Communicative Needs and Ambiguity of Interpretations

2021· article· en· W3146838305 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Higher Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDiscourse Analysis and Cultural Communication
Canadian institutionsnot available
Fundersnot available
KeywordsAmbiguityPopularityCommunication studiesComputer scienceSocial mediaCommunication sourceLinguisticsPsychologyMultimediaSocial psychologySociologyTelecommunicationsWorld Wide Web

Abstract

fetched live from OpenAlex

Social networks are dynamic, accessible virtual planes of communication, through which users carry out the cross-border and transient exchange of information and emotions, meeting their communication needs. The article outlines the main aspects of written communication, its communicative needs, and the ambiguity of interpretations.The constant growth of the popularity of social networks with the simultaneous displacement of the importance of live, direct communication forces scientists in various fields, including the theory of communication, communicative linguistics, to rethink the phenomenon of "communication". It is about creating a special discourse, which is caused by the specifics of the communication channel/code between communicators and the virtual chronotype. Attention has been drawn to written communication on social networks in terms of speakers’ intentions, the interpretation of explicit and implicit information, its impact on the participants of communication, the formation of the special culture of communication (non-library), etc.Specificity in the written form of communication in the social media has been caused by many factors: the readiness or unreadiness of the virtual interlocutor to interact; dominance of visual perception, hence, special attention of recipients to the layout, structuring of the text, volume, photo accompaniment, etc.; knowledge of the latest trends in online communication (fashion clichés, abbreviations, slang, memes); replacement or substitution of non-verbal means by various means of paragraphemics, for example, smilies, stickers, pictures, animation, etc.; developing of a specific network chronotype, in which there are no time limits and which is constantly expanding in volume due to the multiplicity of accounts, texts, chats, groups.Not everyone who communicates on social media knows the intentions of other people. On the one hand, such communication generates the selectivity or concealment of true meanings in the author's texts and on the other hand, additional meanings are taken on during the recipients’ interpretation.

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)0.001
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: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.026
GPT teacher head0.392
Teacher spread0.366 · 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