The relationship between mental health and violence toward women during the COVID-19 pandemic
Bibliographic record
Abstract
The COVID-19 pandemic has a number of psychological consequences for societies, especially women. This study was conducted to determine the relationship between mental health and violence toward women during the COVID-19 pandemic in Iran.This study was conducted on during late October to November 2020 (N = 400). Demographic information questionnaire, General Health Questionnaire(GHQ-12) and violence toward women inventory(VTWI) were used.The results showed that violence was higher among employed women. Also, the results showed that VTW was higher in women with 3 children, high school degree, family income under 3 million and women over 40 years old. Findings showed that the mean mental health of women at the COVID-19 pandemic was moderate (15.14 ± 8.8). Also, with increasing psychological and economic violence, their mental health decreases. Therefore, it is suggested that policy makers and planners, apart from the physical effects of the COVID-19 pandemic, pay attention to its psychological dimension, especially for women, and try to allocate funds to maintain and promote mental health and family.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".