Supplementing, restructuring, resisting: Maps of Underground space in poetry, embodied performativity, and the “misrepresentationalism” of Harry Beck's Tube diagram
Bibliographic record
Abstract
Abstract This article considers mental and poetic “maps” of London in their respective relationships to Harry Beck's famous 1930s “circuit‐diagram” map of the underground railway system. This iconic image distorts and radically stylizes London geography; thus, it functions as a tool for planning individual travel itineraries but leads to a misrepresentative top‐down mental map of the city. I focus on poetry by Michael Donaghy, D. J. Enright, and Carole Satyamurti that confronts the “ocularcentrism” of visual mapping and the stylization of Beck's image and, I argue, proposes the embodied experience of transit passengers as an alternative basis for conceptually organizing city space. These poets “write in” what pictorial cartography excludes, reorganizing London geography within the passenger's cognitive map and challenging the authority of Beck's image to establish what constitutes “official” territory via inclusion in or exclusion from the standard visual representation of the transit system.
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.
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 | 0.002 | 0.004 |
| 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 | 0.029 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".