“Dusk can be a magical time in the French Quarter”: Richard Ford’s New Orleans before and after Katrina in “Puppy” and “Leaving for Kenosha”
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Richard Ford has often claimed that he does not consider himself a Southern writer despite being born and raised in Mississippi. Apart from his first two novels, most of his works are set in the North (sometimes the Far North) but, since he lived in New Orleans for some time and knows the city very well, he has devoted two short stories to that singular city. In “Puppy” (2001) and “Leaving for Kenosha” (2008), Ford makes use of various clichés associated with the city; the characters’ behavior is also justified by their living there—space and self being intimately related. Focusing on the description of the city in the two stories, this article points out the gap between the flamboyant city of the past and its present ruins since the 2005 hurricane Katrina. Both stories rely on the dysfunction brought about by an intruder and as the narratives come to an end, some kind of balance has been restored because the life of the city takes over.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it