Bibliographic record
Abstract
Marxism and Urban Culture is the first volume to reconcile social science and humanities perspectives on culture. Covering a range of global cities—Bologna, Buenos Aires, Guatemala City, Liverpool, London, Los Angeles, Madrid, Mahalla al-Kubra, Mexico City, Montreal, Osaka, Strasbourg, Vienna—the contributions fuse political and theoretical concerns with analyses of urban cultural practices and historical movements, as well as urban-themed literary and filmic art. Conceived as a response to the persistent rift between disciplinary Marxist approaches to culture, this book prioritizes the urban problematic and builds implicitly and explicitly on work by numerous thinkers: not only Karl Marx but also David Harvey, Henri Lefebvre, Friedrich Engels and Antonio Gramsci, among others. Rather than reanimate reductive views either of Marx or of urban theory, the chapters in Marxism and Urban Culture speak broadly to the interdisciplinary connections that are increasingly the concern of cultural scholars working across and beyond the boundaries of geography, sociology, history, political science, language and literature fields, film studies, and more. A foreword written by Andy Merrifield (the author of Metromarxism) and an introduction by Benjamin Fraser (the author of Henri Lefebvre and the Spanish Urban Experience) situate the book’s chapters firmly in interdisciplinary terrain.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".