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Record W2564758182 · doi:10.4000/erea.5311

“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”

2016· article· en· W2564758182 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueE-rea · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsECW Press (Canada)
Fundersnot available
KeywordsHurricane katrinaQuarter (Canadian coin)NarrativeHistoryDuskTimelineArt historyArtLiteratureGeographyNatural disasterArchaeologyMeteorology

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.249
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it