Does Sarcasm Always Sting? Investigating the Impact of Ironic Insults and Ironic Compliments
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.
Bibliographic record
Abstract
Abstract In previous research, there have been inconsistent findings regarding interpretation of ironic insults. Colston (1997) reported that irony enhances the criticism conveyed by a more direct insult, but Dews and Winner (1995; Dews, Kaplan & Winner, 1995) reported that irony mutes the criticism conveyed by more direct insult. In this study we examined the possibility that the perception of ironic insults depends on whether participants were asked to judge speaker intent (e.g., mocking) or social impression (e.g., politeness). Results supported this possibility because ironic insults were perceived to be more mocking, but also more polite, than direct insults. In contrast, ironic compliments were perceived to be more mocking and less polite than direct compliments.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it