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
This article documents the production and analysis of time maps, the graphs which are produced by plotting a narrative’s fabula against its syuzhet. Other researchers have independently studied time maps, and most of them directly adopted Genette’s classic ordering schema, which tracks the sequence of events in the fabula by assigning them a letter. My method creates time maps of unprecedented resolution by numerically tracking each scene’s position and duration in the fabula. This accounts for differences across time scales, which previous work has overlooked. I consider how time maps can advance narrative theory by visualizing nonlinear narration and by highlighting the affordances of different media. I introduce the notion of a “narratological chronotope” to describe the visualizations of Genette’s “canonical movements” and suggest a heuristic typology of narrative temporal cues. I develop these arguments through analyses of *Rashomon* and *Mrs. Dalloway*.
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) | 0.001 | 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