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Record W4389966958 · doi:10.1017/9781108974004.023

Irony and Satire

2023· book-chapter· en· W4389966958 on OpenAlexaff
Christian Burgers

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIronyComedyLaughterSituational ethicsCriticismSarcasmLiteraturePoliticsPsychologyLinguisticsSocial psychologyPhilosophyArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

This chapter examines the conceptual relations between irony and satire. Many forms of satire, usually seen as containing elements of judgment, play, laughter, and aggression, may be considered discourse-level irony (i.e., satire is more evident in stretches of discourse, rather than in single utterances). Burgers illustrates this important point, as well as how satire expresses implied criticism, through consideration of several instances of television comedy programs, literature, internet news, and political commentaries. Satire may be differently explained by several prominent theories of irony (e.g., Gricean, pretense, echoic mention), each of which reveals the discourse-level nature of satirical communication. Burgers’ chapter describes various experimental studies looking at the impact that satirical language has on people’s attitudes toward different topics. As is all cases of irony, whether satire is successful in communicating speakers’ beliefs depends on a variety of situational (e.g., the specific media) and personal (e.g., who is the speaker, the addressee, overhearers, and their particular prior beliefs about some topic) factors. Even though satire may be a global phenomenon, how it is specifically employed in different cultures, and for different personal and social reasons, is very much a topic for future research.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.834
Threshold uncertainty score1.000

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 science0.0000.000
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 head0.044
GPT teacher head0.250
Teacher spread0.207 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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