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Record W2051438516 · doi:10.1177/1206331211412245

An Urban Physiognomy of the 1964 Kitty Genovese Murder

2011· article· en· W2051438516 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.

Bibliographic record

VenueSpace and Culture · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsMcGill University
FundersUniversity of Sydney
KeywordsPhysiognomyPortraitPhotographyHistoryCriminologySociologyArtLawVisual artsPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

This article analyzes how news photographs and textual accounts of the 1964 Kitty Genovese murder and its 38 witnesses formulated the problem of crime in the city as one of failed witnessing in urban conditions. It analyzes the press images of Austin Street in Kew Gardens and a police portrait of the victim as facialized surfaces that journalists and editors used to interpret the failure of witnesses who were said to have watched or heard Winston Moseley’s assaults on Genovese. In years since, the number of witnesses has been called into question, as has the claim that Genovese’s neighbors did not call the police or offer direct assistance. In reviewing a case made famous through the construction of its 38 witnesses, the author shows how crime scene photography and victim portraiture played their part in conjuring the witnesses and their presumed inaction. Through these representations, this famous story of failed witnessing created an urban physiognomy of the Genovese murder whose truths lie not in the veracity of the witnesses themselves but in the ability of news and police photography to spectate the crime scene and murder victim for readers.

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 score0.881
Threshold uncertainty score0.765

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)0.0010.000

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 head0.031
GPT teacher head0.222
Teacher spread0.190 · 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