MétaCan
Menu
Back to cohort
Record W2115213813 · doi:10.1111/japp.12084

Comic Immoralism and Relatively Funny Jokes

2014· article· en· W2115213813 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Applied Philosophy · 2014
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsComicsLiteraturePsychologyPhilosophyAestheticsArt

Abstract

fetched live from OpenAlex

Abstract A widely accepted view in the philosophy of humour is that immoral jokes, like racist, sexist or homophobic jokes, can nevertheless be funny. What remains controversial is whether the moral flaws in these jokes can sometimes increase their humour. Moderate comic immoralism claims that it is possible, in at least some cases, for moral flaws to increase the humour of jokes. Critics of moderate comic immoralism deny that this ever occurs. They recognise that some jokes are both funny and immoral, yet they claim that it is always something other than the moral flaws of jokes that contribute to their humour. In a series of recent papers, A aron S muts has pressed this objection to moderate comic immoralism. I argue that S muts' attempt to narrow the range of cases in which humour can be attributed to immoral features is not sufficient to demonstrate that moderate comic immoralism is false. Specifically, I claim that S muts cannot rule out a case for moderate comic immoralism grounded in the possibility that humour is normatively relative while the ethical status of jokes is not.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.355

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 head0.075
GPT teacher head0.255
Teacher spread0.179 · 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