Bibliographic record
Abstract
Morrison’s essay calls for closer scholarly attention to Faulknerian geography in its historical specificity by demonstrating the effects of post-WWII urban crisis on Faulkner’s Cold War writing. To this end, the article reads Faulkner’s Requiem for a Nun (1951) as not only a response to industrialization and militarization in the South, but as a sustained novelistic reflection on modes of urban renewal in both the United States and a Europe under reconstruction through the Marshall Plan. By unearthing the bivalent history of US urbanism’s sounds and spaces, Requiem for a Nun interrogates US mass culture at a crucial moment in its foreign expansion, during a period when many Europeans feared an Americanization of their cities and cultures concomitant with US-funded postwar rebuilding. The text’s fictive geographies represent a Faulknerian spatial imagination unthinkable in isolation from the urban panics—both domestic and international—of the early Cold War, allowing us to rethink Faulkner’s strategies for imagining political community in this time. Through images of ruined and renewed urban forms, as well as the sounds that accompany material urban change, Requiem registers the tolls of both a mass-market consumerism that the United States sought to promote abroad and a schema of spatial and social reconstruction rooted in conditionality rather than forgiveness. In this way, the article calls attention to the geographical complexity of Faulkner’s engagement with a post-WWII US market empire.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.026 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| 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".