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Record W3114337697 · doi:10.1075/ssol.20005.dix

Reader reactions to psychological perspective*

2020· article· en· W3114337697 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

VenueScientific Study of Literature · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCharacter (mathematics)NarrativeExperiential learningPsychologyPerspective (graphical)Mental stateSocial psychologyCognitionCognitive psychologyPsychoanalysisEpistemologyLiteraturePhilosophyArtComputer scienceMathematics educationArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract In this study, we used latent variable analysis to distinguish two components of reader reactions to narrative fiction: Evaluative reaction is the extent to which a character is seen as reasonable and rational, and experiential reaction is the extent to which the reader feels similar to and identifies with the character. We found that evaluative reaction was more negative when mental access to the character was provided, while experiential reaction was decreased by the use of a first-person (as opposed to third-person) narrator. These results were explained in terms of the additional cognitive processing engendered by the these narrative techniques. In particular, we hypothesized that a paucity of mental access leads readers to make their own inferences about the character’s mental state, while the use of third-person narration leads readers to draw on their personal experience in order to appreciate the circumstances of the character.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.139
GPT teacher head0.365
Teacher spread0.227 · 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