The Slipperiness of Literary Maps: Critical Cartography and Literary Cartography
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
How we read and interpret a map when it is presented alongside the text in a work of fiction is the central issue with which this paper is concerned. Although “literary maps” can be found across a range of genres in literary studies, they are often treated as illustrative rather than being understood as integral to the meaning of the literary work. This article seeks to challenge such assumptions. The first half of the article is interdisciplinary, engaging with the work of J.B. Harley, Mark Monmonier, Franco Moretti, Christina Ljungberg, and Andrew Thacker in order to open up responses to literary maps in more complex ways. It draws on critical cartography to define core concerns for an emerging literary cartography, such as the nature of the analogy between map and text; the complexity of correspondence when a map and text occur alongside each other and the author is also the map-maker; and the difficulties created by naïve users of the literary map. The second half of the article grounds the prior discussion in analysis of Agatha Christie's house plans in The Mysterious Affair at Styles and The Murder of Roger Ackroyd.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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