MétaCan
Menu
Back to cohort
Record W7055818319

‘CRIMINALS ARE INSIDE OF OUR HOMES’: TWO MODELS OF THE RELATIONSHIP BETWEEN PERCEIVED NEIGHBOURHOOD CRIME RATE AND INTIMATE PARTNER VIOLENCE

2010· article· en· W7055818319 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2010
Typearticle
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsNeighbourhood (mathematics)VictimisationPerceptionFear of crimeDomestic violencePoison controlProbit modelHomicideOrdered probit
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines two models of relationship between intimate partner violence (IPV) and perceptions of neighbourhood crime rates. In the first model, I seek to understand why some incidents of IPV are followed by revictimisation after police intervention; in the second model, I seek to understand why some people believe that they live in a higher crime neighbourhood. More specifically, however, I examine whether living in a higher crime neighbourhood increases one’s risk for IPV revictimisation and, alternatively, whether IPV victimisation increases one’s perception of his or her neighbourhood crime rate. Probit regression, Heckman selection probit regression, and logistic regression are used to analyse the 1999 and 2004 Canadian General Social Surveys of victimisation. The GSS is valuable in that it asks respondents about the perceived level of crime in their community. Since there is some evidence to suggest a high correlation between perceived and real crime levels (Raudenbush and Sampson 1999), this variable is used as an independent variable in the first analysis as a measure of the actual level of criminality in the respondent’s neighbourhood. However, since this variable measures the respondent’s perception of his or her neighbourhood crime rate, the same variable may be used as the outcome variable in the second analysis. After all, one’s perceptions may be influenced by multiple factors. In this instance, the resident’s perceptions of living in a higher crime neighbourhood are believed to correlate with insecurity and, in turn, a fear of crime. In the analysis of IPV revictimisation, I find that those who live in a higher crime neighbourhood are much more likely to be revictimised and that—when sample selection bias is controlled—women are also more likely to be revictimised. In the analysis of perceptions of neighbourhood crime rates, I find that women who experience IPV revictimisation are significantly more likely to believe that they live in a higher crime neighbourhood, even when controlling for income. Thus, women are more likely to be abused by an intimate partner, to report their abuse to the police, to be reabused following police intervention, and—as a result of this revictimisation—to believe that they live in a higher crime neighbourhood.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.808

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.114
GPT teacher head0.312
Teacher spread0.198 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueScholarship@Western (Western University)Same topicLaser Design and ApplicationsFrench-language works237,207