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Record W3202555363 · doi:10.1177/15248380211048445

Violence by Burning Against Women and Girls: An Integrative Review

2021· review· en· W3202555363 on OpenAlexaff
Rachel Kornhaber, Raquel Pan, Michelle Cleary, Catherine Hungerford, Claudia Malic

Bibliographic record

VenueTrauma Violence & Abuse · 2021
Typereview
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsCINAHLPsycINFOScopusPoison controlDomestic violenceInjury preventionSuicide preventionMedicineOccupational safety and healthPsychologyMEDLINEPsychiatryPsychological interventionEnvironmental healthPolitical science

Abstract

fetched live from OpenAlex

Violence against women and girls by burning is a serious and confronting form of gender-based violence. Often, perpetrators aim to disfigure their victims or cause great pain, rather than kill them. Little is known about the characteristics of females who are subjected to violence by burning. This study aimed to review the literature concerning the prevalence, demographic profile, injury event, contributing factors and health outcomes for women and girls who have experienced burn-related violence. A search across five databases (PubMed, CINAHL, PsycINFO, Scopus and LILACS) was conducted up to April 2021 to identify original peer-review research, with a focus on violence by burning against women and girls. The review was guided by the five-stage approach to integrative reviews developed by Whittemore and Knafl (2005). Fifteen studies were identified. Victims were predominantly married, with low socio-economic status, limited education, and high emotional and financial dependency on their partners or families. Burn injuries were mostly caused by flame or acid, with significant morbidity or high mortality. Motives included family/marital issues or property/financial disputes. This review identified the limited evidence available in the peer-reviewed literature related to burn-related violence against women and girls worldwide. Findings suggest the need for further research to provide a clearer understanding of the complex issues involved.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.036
GPT teacher head0.353
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations11
Published2021
Admission routes1
Has abstractyes

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