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Record W7135673837

Crime, Culture and the Urban Experience

2023· book· pt· W7135673837 on OpenAlexaff
Keith John Hayward

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2023
Typebook
Languagept
FieldSocial Sciences
TopicDecadence, Literature, and Society
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsModernityContext (archaeology)NarrativePoliticsField (mathematics)Order (exchange)Object (grammar)
DOInot available

Abstract

fetched live from OpenAlex

É com enorme satisfação que apresento aos leitores e leitoras do Brasil Crime, Cultura de Consumo e Vivência Urbana, de Keith Hayward, segundo volume da coleção Criminologia Cultural, que coordeno na emais editora. Este livro está fortemente inserido nas tradição críticas de Criminologia, trazendo uma apreciação das mudanças culturais das últimas décadas com o intuito de contribuir para uma compreensão mais qualificada da questão criminal na modernidade tardia. Hayward apresenta uma análise teórica ambiciosa que consiste em uma abordagem cultural que visa compreender o nexo cidade-crime-criminalização-identidade no contexto de uma cultura de consumo. O livro incorpora uma impressionante variedade de literatura além dos limites da Criminologia tradicional - incluindo estudos urbanos, teoria social e, mais notavelmente, de crítica de arte e arquitetura - em uma abordagem marcadamente multidisciplinar. Isso proporciona uma leitura desafiadora e esclarecedora, com ênfase no impacto da cultura de consumo na experiência urbana vivida e na dinâmica espacial da cidade e, por sua vez, na compreensão da transgressão e da criminalidade.

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 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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0100.018
Scholarly communication0.0000.001
Open science0.0060.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1590.038

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 head0.057
GPT teacher head0.320
Teacher spread0.263 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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