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Record W4413867424 · doi:10.1016/j.poetic.2025.102043

Who remembers fake historical figures? Differentiating between passing knowledge and dispositional openness in cultural research

2025· article· en· W4413867424 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.

Bibliographic record

VenuePoetics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOpenness to experiencePsychologyEpistemologyCognitive psychologySocial psychologyAestheticsPhilosophy

Abstract

fetched live from OpenAlex

What does it mean when individuals report having a wide variety of cultural knowledge and taste? Core contemporary theories propose different answers to this question, suggesting that cultural breadth is either rooted in the development of “passing knowledge” across multiple domains, or the expression of more general “dispositional openness” to a wide variety of culture. To adjudicate between these two perspectives I introduce the use of pseudo items into culture research, and integrate their usage with Bourdieu’s observations about “competence” and the “right to speak.” I find evidence for a dispositional openness account to claimed cultural knowledge, in addition to a known gender effect that is likely also rooted in dispositions. In closing I discuss how my findings may be suggestive of a new form of allodoxia for elites. I also discuss how pseudo items and other productively weird methodological tools can help refine our analyses of longstanding culture questions, while also generating new ones.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

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

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 head0.107
GPT teacher head0.443
Teacher spread0.336 · 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