Impacts of COVID-19 Related Changes in Income on Women Experiencing Intimate Partner Violence at Home
Bibliographic record
Abstract
Introduction: Intimate partner violence (IPV) has increased in Canada due to COVID-19 and associated public health measures. Economic status may be responsible, but this must be validated during COVID-19.\nMethods: An online survey was administered to 23 Canadian women to measure their income pre and during COVID-19 and their experiences of IPV in the past 12 months. Factorial ANOVAs and MANOVAs were used to explore the relationship between income and IPV.\nResults: Of women responding to both timepoints, 56.5% (n=13) indicated an increase in IPV. Analyses did not suggest that income was significantly related to IPV, apart from the effect of CERB (governmental economic stimulus) when interacting with income change on IPV pre-COVID-19 (p=.03412).\nConclusion: Economic status is insufficient in explaining IPV, but CERB combined with income change provides evidence of the relationship between IPV and economic status. Additional research is required to identify risk and protective factors for IPV in this context.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".