Cumulative lifetime violence severity scale: development and initial testing among men
Bibliographic record
Abstract
BACKGROUND: Knowledge of the relationship between men's health and violence is flawed by narrow and faulty conceptualization and measurement of violence that often results in attribution of health problems to one form or type of violence without consideration of other exposures. Our purpose is to describe the development and initial testing of the Cumulative Lifetime Violence Severity scale designed for use in health research to measure men's perceptions of the severity of their cumulative lifetime violence. METHODS: We framed the dimensions of violence severity as: type (physical, psychological, sexual), timing (childhood, adulthood), focus (perpetrator, target), context, frequency, and degree of distress. Items reflecting these dimensions were vetted by local experts including individuals who identified as men, with particular attention to meaningful language for men. The measure was pretested, revised to 64 items, and tested for test-retest reliability prior to use in a study of 685 English-speaking Eastern Canadian men, ages 19 to 65 years. We used Principal Components Analysis to illuminate the underlying dimensionality of the items. RESULTS: Principal Components Analysis yielded a 44-item 11 component solution that accounted for 64.06% of variance with good model fit and a Cronbach's alpha of .92. All dimensions of our conceptualization of violence severity were reflected in the components, except Adult Target Sexual Violence. Convergent validity between the Cumulative Lifetime Violence Severity-44 Scale and a global lifetime violence rating scale was r = .750 (p < .001) and concurrent validity was moderate and significant between the Cumulative Lifetime Violence Severity-44 scale and measures of mental health problems commonly experienced by people with violence histories. CONCLUSIONS: The Cumulative Lifetime Violence Severity-44 scale shows promise as the first comprehensive measure of cumulative lifetime violence for health research that considers gender, individual distress and experiences as both perpetrator and target. Next steps include further exploratory analysis with a more diverse sample of men and confirmatory factor analysis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".