When Is the Unfamiliar the Uncanny? Meaning Affirmation After Exposure to Absurdist Literature, Humor, and Art
Bibliographic record
Abstract
The meaning maintenance model asserts that following a meaning threat, people will affirm any meaning frameworks that are available. Three experiments tested (a) whether people affirm alternative meaning frameworks after reading absurdist literature, (b) what role expectations play in determining whether absurdities are threatening, and (c) whether people have a heightened need for meaning following exposure to absurdist art. In Study 1, participants who read an absurd Kafka parable affirmed an alternative meaning framework more than did those who read a meaningful parable. In Study 2, participants who read an absurd Monty Python parody engaged in compensatory affirmation efforts only if they were led to expect a conventional story. In Study 3, participants who were exposed to absurdist art or reminders of their mortality, compared to participants exposed to representational or abstract art, reported higher scores on the Personal Need for Structure scale, suggesting that they experienced a heightened need for meaning.
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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 | 0.001 | 0.006 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".