Bibliographic record
Abstract
• IPV is an underrecognized problem that occurs in all countries, cultures, and socioeconomic groups. • IPV has an enormous impact on personal health, and economic and social well-being. • IPV may occur in heterosexual and LGBTQ relationships and may be perpetrated by either sex. • Canadian data from 1999 show about equal proportions of men and women had been victims of physical (seven and eight per cent, respectively) and psychological (18 and 19 per cent, respectively) IPV in the previous five years. • Exposure to IPV has deleterious effects on children and other family members. • Some populations are at greater risk or have special needs for IPV. These include immigrant women, Aboriginal women, LGBTQ communities, people with ALs, pregnant women, dating adolescents, older people, alcohol and other substance abusing people, low-income people, and those without a current partner (that is, IPV perpetrated by a former partner). • Mental health problems associated with IPV include depression, anxiety disorders, chronic pain syndromes, eating disorders, sleep disorders, psychosomatic disorders, alcohol and other substance abuse, suicidal and self-harm behaviours, nonaffective psychosis, some personality disorders, and harmful health behaviours, such as risk taking and smoking. As IPV is a major determinant of mental health, it is of vital importance to mental health professionals. • Physical health problems associated with IPV include death, a broad range of injuries, reproductive disorders, gastrointestinal disorders, chronic pain syndromes, fibromyalgia, poor physical functioning, and lower health-related quality of life. Sexually transmitted diseases, unwanted pregnancies and physical inactivity are also increased. • Children's exposure to IPV may have short- and long-term health impacts on the child, especially mental health effects. • Perpetrators of IPV most frequently have personality disorders, but substance abuse and other types of mental illness or brain dysfunction may also occur.
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.
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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.098 | 0.015 |
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".