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Record W2169206468

Towards an Integrative Theory of Crime and Delinquency: Re-conceptualizing the Farrington Theory

2012· article· en· W2169206468 on OpenAlexaff
Sonya Buffone

Bibliographic record

VenueInternational journal of criminology and sociological theory · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsJuvenile delinquencyGeneral strain theoryDeviance (statistics)CriminologySocial control theoryPsychologyLife course approachArgument (complex analysis)Social theorySocial psychologySociologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

The Farrington Theory (2003) was developed to explain offending and anti-social behaviour by working class males. This theory alleges that stability in criminal behaviour resides in the individual rather than in the environment; the social problem of crime is largely medicalized, constituting a psychological model of anti-social behaviour rather than a theory of crime and delinquency. The argument proposed in this paper is threefold: First, I argue Farrington’s theory is problematic given that it constructs deviance in a narrow and largely stable manner; therefore, this theory is better conceptualized as a psychological model of anti-social behaviour not a theory of crime. Secondly, I argue that integrated theoretical perspectives offer more nuanced and dynamic explanations and understandings of crime over the life course. As such, I attempt to address the shortcomings of Farrington’s model by reframing it in terms of an integrative framework. Specifically, I use strain theory and control theory to elucidate the importance of structural and social processes leading to crime and delinquency, and to emphasize the potential for discontinuity as well as change in criminal propensities over the life course. I conclude the paper by illuminating the implications of Farrington’s psychological model in terms of broader policy initiatives.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.175
GPT teacher head0.428
Teacher spread0.252 · 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; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations3
Published2012
Admission routes1
Has abstractyes

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