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Análisis pragmático de los actos de habla irónicos y humorísticos en comentarios publicados en las páginas de Facebook de cuatro noticieros costarricenses

2021· article· es· W3192528836 on OpenAlexaff
Mariana Cortés Kandler, Yordan Arroyo Carvajal

Bibliographic record

VenueTextos en Proceso · 2021
Typearticle
Languagees
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

En este artículo se realiza un estudio ciberpragmático y sociocrítico de la comunicación mediada por computadoras, a través de la red social Facebook. Se examinan el uso de la ironía, el chiste y el sociohumor en 30 comentarios, inmersos en 16 casos recogidos de las páginas de Facebook de 4 noticieros costarricenses: La Nación, Diario Extra, Semanario Universidad y CRHoy, para referir sus funciones a nivel tanto discursivo como social. En la muestra, se descubrió que prevalece el uso de la ironía como recurso para transmitir el descontento social respecto a la situación política vivida cuando se recolectaron los datos. También, se hallaron casos de chiste y de sociohumor (reforzamiento creado mediante una mezcla de chiste e ironía), así como el uso de abundantes recursos no verbales (principalmente emojis) que les permitieron a los usuarios reforzar el acto irónico. Este estudio se suma a otras investigaciones que examinan la ironía, el chiste y el sociohumor en las redes sociales, y abre horizontes a futuras investigaciones en Costa Rica dentro de este campo, donde los estudios sobre ciberpragmática y análisis del discurso mediado por computadoras son escasos.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.502
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0030.001
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.305
Teacher spread0.292 · 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

Citations7
Published2021
Admission routes1
Has abstractyes

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