Bibliographic record
Abstract
Abstract Edith Wharton’s early novella, “Bunner Sisters,” shows the author’s engagement with ecological thinking from early in her career. Despite her sometimes negative comments on cities, Wharton’s fiction reveals the appeal that the urbanscape held for her imagination. An ecocritical approach, informed by urban ecology, traces in “Bunner Sisters” Wharton’s understanding of the city as a dynamic entity made up of multiple interdependencies that include both animate (human and non-human) and inanimate matter. Wharton’s ecological awareness illuminates the sisters’ relationship to their surroundings through their forays into green spaces and engagement with flowers. In Evelina’s case, especially, it illuminates the seductive and detrimental effect of social ideals concerning the marital status of women. More broadly, the sisters’ urban context looks forward to best practices in urban planning. With remarkable prescience, Wharton’s New York in “Bunner Sisters” functions along urban principles aimed at maintaining vibrant cities that align with those espoused by late twentieth-century urban activist Jane Jacobs and subsequently adopted by urban planners and designers.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".