A joke is just a joke (except when it isn't): Cavalier humor beliefs facilitate the expression of group dominance motives.
Bibliographic record
Abstract
Past research reveals preferences for disparaging humor directed toward disliked others. The group-dominance model of humor appreciation introduces the hypothesis that beyond initial outgroup attitudes, social dominance motives predict favorable reactions toward jokes targeting low-status outgroups through a subtle hierarchy-enhancing legitimizing myth: cavalier humor beliefs (CHB). CHB characterizes a lighthearted, less serious, uncritical, and nonchalant approach toward humor that dismisses potential harm to others. As expected, CHB incorporates both positive (affiliative) and negative (aggressive) humor functions that together mask biases, correlating positively with prejudices and prejudice-correlates (including social dominance orientation [SDO]; Study 1). Across 3 studies in Canada, SDO and CHB predicted favorable reactions toward jokes disparaging Mexicans (low-status outgroup). Neither individual difference predicted neutral (nonintergroup) joke reactions, despite the jokes being equally amusing and more inoffensive overall. In Study 2, joke content targeting Mexicans, Americans (high-status outgroup), and Canadians (high-status ingroup) was systematically controlled. Although Canadians preferred jokes labeled as anti-American overall, an underlying subtle pattern emerged at the individual-difference level: Only those higher in SDO appreciated those jokes labeled as anti-Mexican (reflecting social dominance motives). In all studies, SDO predicted favorable reactions toward low-status outgroup jokes almost entirely through heightened CHB, a subtle yet potent legitimatizing myth that "justifies" expressions of group dominance motives. In Study 3, a pretest-posttest design revealed the implications of this justification process: CHB contributes to trivializing outgroup jokes as inoffensive (harmless), subsequently contributing to postjoke prejudice. The implications for humor in intergroup contexts are considered.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".