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Record W2945076264 · doi:10.1515/css-2019-0015

Emojis: Langue or Parole?

2019· article· en· W2945076264 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

VenueChinese Semiotic Studies · 2019
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmojiSemioticsArgument (complex analysis)Visual literacyLinguisticsCreativityRepresentation (politics)PhenomenonMode (computer interface)LiteracyCognitive scienceSociologyPsychologyComputer scienceEpistemologySocial psychologyHuman–computer interactionPhilosophy

Abstract

fetched live from OpenAlex

Abstract The phenomenon of emojis has had many implications for the future course of writing, literacy, communications, and the nature of representation itself. This paper looks at the implications of emoji use through the filter of Saussurean semiotics and through the lens of theories of visuality, which claim that visual writing is having radical effects on literacy and cognition. The historical background to the rise of visual writing is used as a backdrop to the semiotic analysis of the emoji phenomenon. The way we read and write messages today with visual elements such as emoji may indicate a radical shift away from a linear mode of processing information, as imprinted in alphabetic forms of writing, toward a more holistic and imaginative mode. However, because emoji usage and creativity depend on specific technologies, it remains to be seen if such writing can survive as technologies change. The main argument in this paper is that emojis are more part of parole than they are a separate langue , but they nonetheless reveal changes that the latter is undergoing in an age of digital multimodal communication.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.960

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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.027
GPT teacher head0.318
Teacher spread0.291 · 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