Openness to experience, absorption-like states, and the aesthetic, explanatory, and pragmatic effects of literary reading
Bibliographic record
Abstract
Abstract Although several measures of reading engagement (e.g., absorption, immersion) have been developed in recent years, the possibility that they reflect different constructs has not been systematically examined. The present study investigated two factorially independent forms of reading engagement measured by the Absorption-Like States Questionnaire (ASQ; Kuiken & Douglas, 2017 , 2018 ). We examined whether (a) expressive enactment (ASQ-EE) and integrative comprehension (ASQ-IC) differentially predict aesthetic, explanatory, and pragmatic reading outcomes; (b) whether the components and outcomes of ASQ-EE and ASQ-IC differ from those of another measure of reading engagement (the Story World Absorption Scale, SWAS; Kuijpers et al., 2014 ), and (c) whether ASQ-EE and ASQ-IC are differentially related to two measures of trait openness to experience: the Tellegen Absorption Scale ( Tellegen & Atkinson, 1974 ) and the Big Five Aspects Scale for Openness/Intellect; DeYoung et al., 2007 ).
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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 | 0.002 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".