Comparing the lifestyles of victims: A routine activity theory assessment of repeat victimization in Canada
Bibliographic record
Abstract
This paper simultaneously explores the relationship between social status, routine activity theory, and repeat victimization. This study compares the effects of lifestyle with key social status variables like gender, race, and sexuality, on varying degrees of victimization to answer the question: do routine activities or social status predict repeat victimization? This research is a secondary data analysis using two waves of the Canadian Victimization Survey from 2004 and 2009. Both a logistic regression and multinomial logistic regression are used to analyze the possible causes of repeat victimization. Overall, social status is influenced by lifestyle when predicting victimization; however, key social status variables predict high levels of victimization such as identifying as gay or lesbian or being an Aboriginal Canadian. The most powerful indicator of victimization was if a victim had been previously arrested themselves. The results of this study suggest that, while lifestyle is a strong predictor of victimization, minority groups are still at risk of being victimized at higher levels.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".