RISING DOMESTIC VIOLENCE DURING EMERGENCIES AND THE COVID-19 PANDEMIC
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it