Mapping Authorship: Overhead Cartography in Paul Auster’s City of Glass
Bibliographic record
Abstract
In 1994, nearly ten years after the publication of Paul Auster’s postmodern detec- tive novel City of Glass, Avon Books released Neon Lit: Paul Auster’s City of Glass, a graphic novel adaptation. Another ten years later, in 2004, Picador published a new version of the graphic novel with an introduction by Art Spiegelman, who, in dis- cussing the challenges of adapting Auster’s novel, calls City of Glass “a surprisingly nonvisual work” (n.p.). The contrast between Spiegelman’s pronouncement and the rather insistent attempts over the last twenty years to represent the work pictorially suggests that one of the novel’s more general concerns, the postmodern difficulties associated with reading the world and constructing identity based on those readings, is a problem rooted in the relationship between the visual and the nonvisual. More specifically, the novel’s interest in the visual strategies of mapping points to how the cartographic impulse, the desire to create maps, both alleviates these postmodern problems and further complicates them through the visual perspective necessary for satisfying such an impulse in the first place.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.015 | 0.038 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".