Cartography and Renewal in Rebecca Solnit’s <i>Infinite City: A San Francisco Atlas</i>
Bibliographic record
Abstract
Abstract: This article explores the ways in which contemporary American writer Rebecca Solnit renews traditional approaches to map making by emphasizing both the imaginative and the communal in cartography, through a combination of maps and storytelling. Presented like a traditional atlas and featuring twenty-two historical or subjective maps of the city, accompanied by essays, Infinite City illustrates not only the huge interest in maps and mapping manifest in American art since the 1960s but also the emergence of an alternative, community-based type of cartography. Inspired by literary models ( Italo Calvino’s Les Villes invisibles ) and critical cartography, Infinite City opens up the field of mapping to both interdisciplinary dialogue and subjective narrative. This article looks at how Infinite City navigates between the individual and communal relevance of mapping, while also examining its attempts to “un-discipline” cartography and place it within a larger community of disciplines and fields (literature, critical theory, visual arts).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.012 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".