Psychonarratology foundations for the empirical study of literary response
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.
Bibliographic record
Abstract
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 Empirical evidence is presented on each problem, much of it previously unpublished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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it