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Record W4210537243 · doi:10.1017/cbo9780511500107

Psychonarratology

2002· book· en· W4210537243 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

VenueCambridge University Press eBooks · 2002
Typebook
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNarratologyFocalizationCognitionEmpirical researchNarrativePsychologyEpistemologyCognitive sciencePlot (graphics)SociologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Psychonarratology is an approach to the empirical study of literary response and the processing of narrative. It draws on the empirical methodology of cognitive psychology and discourse processing as well as the theoretical insights and conceptual analysis of literary studies, particularly narratology. The present work provides a conceptual and empirical basis for this interdisciplinary approach that is accessible to researchers from either disciplinary background. An integrative review is presented of the classic problems in narratology: the status of the narrator, events and plot, characters and characterization, speech and thought, and focalization. For each area, Bortolussi and Dixon critique the state of the art in narratology and literary studies, discuss relevant work in cognitive psychology, and provide a new analytical framework based on the insight that readers treat the narrator as a conversational participant. Empirical evidence is presented on each problem, much of it previously unpublished.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.550
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.034
GPT teacher head0.192
Teacher spread0.158 · 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