RISING DOMESTIC VIOLENCE DURING EMERGENCIES AND THE COVID-19 PANDEMIC
Bibliographic record
Abstract
The issue of the situation of women facing domestic violence in emergency situations, including the environmental and man-made disasters, pandemics, in general, remains poorly understood. The main body of scientific publications on the topic is represented by quantitative and qualitative research conducted in Australia, Canada, New Zealand, and the USA. Several important events have taken place in the Russian Federation over the past few years, which, in our opinion, have aggravated the issue of domestic violence: firstly, cessation of the statistical recording of offenses related to beating the family members and other close persons, therefore, the main data were obtained by the authors from non-profit organizations that provide assistance to victims of domestic violence. The second event that affected every country and territory is the COVID-19 pandemic: the first and second waves of the pandemic entailed restrictive measures, which provoked socio-economic tensions in isolation. The COVID-19 pandemic is classified as a public health emergency of international concern by the World Health Organization Declaration. In that context, the issue of the risks of domestic violence is of particular relevance
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".