An Integrative Review of the Methods Used to Research the Prevalence of Violence against Women in Pakistan
Bibliographic record
Abstract
This paper is a report of an integrative review conducted to assess the methodological and ethical strategies used to protect participants and researchers in conducting violence against women (VAW) studies in Pakistan. The measurement of the prevalence of violence against women in Pakistan is challenging for researchers given the cultural norms and the traditional role of women. Lack of methodological rigor in addressing the concerns can result in underreporting of violence, create physical and emotional risk for the participants, interviewers, and researchers, and impose threats to internal and external validity of VAW studies. Using Whittemore and Knafl’s process for conducting an integrative review, 11 studies published between 1999 and 2012, reporting on prevalence, experiences, and factors associated with violence in a marital relationship were analyzed. Overall, studies reveal an underreporting of exposure to violence and threats to women and interviewers’ safety in the conduct of such studies, both of which present threats to study rigor. The utilization of WHO ethical and safety recommendations to guide VAW studies in this context should be considered.
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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 | 0.026 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.018 | 0.018 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".