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Record W2170119115 · doi:10.1177/0146167210369896

When Is the Unfamiliar the Uncanny? Meaning Affirmation After Exposure to Absurdist Literature, Humor, and Art

2010· article· en· W2170119115 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

VenuePersonality and Social Psychology Bulletin · 2010
Typearticle
Languageen
FieldPsychology
TopicDeath Anxiety and Social Exclusion
Canadian institutionsUniversity of British ColumbiaSimon Fraser University
FundersSocial Sciences and Humanities Research Council of CanadaMcKnight Foundation
KeywordsAbsurdismMeaning (existential)PsychologyAestheticsReading (process)UncannySocial psychologyPsychoanalysisEpistemologyPsychotherapistPhilosophyLinguistics

Abstract

fetched live from OpenAlex

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.302
Teacher spread0.287 · 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