Bibliographic record
Abstract
The element of surprise, a necessary condition for the experience of humor, often derives from the fact that the alternative interpretation/resolution offered by the punch line of a joke is physically or socially forbidden. Children's humor typifies violation of physical norms, whereas adult humor typically pushes the boundaries of social norms. Excess norm violation, to the point of offending, can attenuate the experience of humor/mirth. To examine the neural basis of regulation of affective experience of humor by social norms, we scanned 16 normal subjects while they viewed a series of cartoons that varied in funniness and social acceptability. Behavioral results indicated two separate groups of subjects, those who found the cartoons less offensive and those who found them more offensive. In the group that found the jokes more offensive, there was a negative correlation between funniness and social inappropriateness. In this group, the corresponding Humor by Social inappropriateness interaction during functional magnetic resonance imaging revealed enhanced activation in the right hippocampus along with relative deactivation in the ventral medial prefrontal cortex (VMPFC). By contrast, the Funniness by Social appropriateness interaction resulted in activation in the VMPFC and relative deactivation in the right hippocampus. These results suggest that the regulation of humor by social norms involves reciprocal response patterns between VMPFC and hippocampus regions implicated in contextual regulation of behavior and memory, respectively.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| 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 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".