Domestic violence and older women in Latin American countries: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Domestic violence (DV) is a major public health problem for women around the world, and more commonly for women in Latin American countries (LACs). DV poses a threat to women's health and can have more severe effects in women at midlife and older (aged 50 and above), including a decline in physical and mental abilities leading to a reduced independence. Low- and middle-income countries, including LACs, are projected to experience the greatest population growth in women at midlife and older worldwide over the next few decades. Current LAC literature about DV in relation to women at midlife and older is predominantly prevalence focused. The objective of this review is to identify what is known about DV among women at midlife and older in LACs. METHODS AND ANALYSIS: This review will be conducted in accordance with JBI scoping review methodology. This includes a three-step search strategy: first, a search to identify articles from databases in MEDLINE, Scopus and LILACS; then, a second search using all key words and index terms identified from the articles in step one across select databases; and third, screening the reference lists of included studies and reports for additional studies. All studies which focus on DV in LACs among women at midlife and older will be eligible for inclusion, including those related to definitions, frameworks, cultural norms, risk factors, interventions, evaluations, measurement tools, and health and social consequences. Titles, abstracts and full texts will be assessed by two independent reviewers. A data extraction tool will be used, and findings will be presented in a narrative accompanied by diagrams and tables that address the review questions. ETHICS AND DISSEMINATION: Ethics approval is not required for this review. Findings will be disseminated through a range of traditional approaches, including publication in a peer-reviewed publication and conference presentations. TRIAL REGISTRATION: This review has been registered with Open Science Framework https://doi.org/10.17605/OSF.IO/SZMF7.
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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 | 0.079 | 0.063 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.015 | 0.012 |
| Bibliometrics | 0.025 | 0.018 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.009 | 0.005 |
| Insufficient payload (model declined to judge) | 0.061 | 0.010 |
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".