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Record W4248395236 · doi:10.5206/entrehojas.v5i1.6155

Internet-mediated Phonetics

2015· article· es· W4248395236 on OpenAlexvenueno aff
Nadine Chariatte

Bibliographic record

VenueEntrehojas Revista de Estudios Hispánicos · 2015
Typearticle
Languagees
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsnot available
Fundersnot available
KeywordsStyle (visual arts)Variety (cybernetics)HumanitiesMeaning (existential)Social mediaPhoneticsLinguisticsSociologyPsychologyArtComputer scienceWorld Wide WebPhilosophyArtificial intelligenceLiterature

Abstract

fetched live from OpenAlex

Facebook is a medium of social interaction producing its own style. The present study analyses how users from Malaga create this style through phonetic features of the local Spanish variety and how they reflect on the use of these features. Moreover, the use of non-standard variants by users from Malaga is examined and compared to an oral corpus. Results demonstrate that social factors work differently in real and virtual speech. Thus, the electronic medium constrains the phonetics of the local variety employed on Facebook. Facebook communication is seen as a style serving to create social meaning and to express linguistic identity. Facebook es un medio de interacción social que produce su propio estilo. Este estudio analiza cómo los usuarios malagueños crean dicho estilo a través de rasgos fonéticos de la variedad local de español y cómo reflexionan sobre el uso de estos rasgos. Además, el uso de las variantes no estándares por parte de los usuarios malagueños se examina y se compara con un corpus oral. Los resultados muestran que los factores sociales funcionan de manera diferente en el habla real y virtual. Así, el medio electrónico influye en la fonética de la variedad local empleada en Facebook. La comunicación en Facebook se considera un estilo que sirva para crear significado social y para expresar identidad lingüística.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.004

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 head0.035
GPT teacher head0.268
Teacher spread0.233 · 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.

Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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