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Record W3185102281 · doi:10.2478/disp-2021-0001

Just Kidding: Stand-Up, Speech Acts and Slurs

2021· article· en· W3185102281 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

VenueDisputatio · 2021
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsExcuseAssertionSpeech actIdentity (music)PsychologyCriticismOrder (exchange)LinguisticsSocial psychologySociologyPhilosophyLawAestheticsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract People respond to moral criticism of their speech by claiming that they were joking. In this paper, I develop a speech act analysis of the humor excuse consisting of a negative stage, in which the speaker denies he or she was making an assertion, and a positive stage, in which the speaker claims she or he was engaged in non-serious/humorous speech instead. This analysis, however, runs afoul of the group identity objection, according to which there is a moral distinction between jokes targeting members of vulnerable groups made by members of those groups and similar jokes made by non-members. In order to avoid this objection, I offer a revision to the speech act analysis that draws upon Perry’s distinction between beliefs and belief-states.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score0.762

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)0.0010.000

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 head0.052
GPT teacher head0.381
Teacher spread0.329 · 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