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Record W2792621356 · doi:10.1177/1077801218754410

Gender Violence as a Water, Sanitation, and Hygiene Risk: Uncovering Violence Against Women and Girls as It Pertains to Poor WaSH Access

2018· article· en· W2792621356 on OpenAlex
Morgan Pommells, Corinne J. Schuster‐Wallace, Susan Watt, Zachariah Mulawa

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueViolence Against Women · 2018
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsUnited Nations University Institute for Water, Environment, and HealthMcMaster UniversityAga Khan Foundation
Fundersnot available
KeywordsSanitationHygieneFocus groupTanzaniaEnvironmental healthDomestic violencePoison controlSocioeconomicsEquity (law)Qualitative researchGender equitySuicide preventionMedicinePolitical scienceBusinessSociologyGender studies

Abstract

fetched live from OpenAlex

The purpose of this study was to better understand the gender violence risks that exist in communities where poor water, sanitation, and hygiene (WaSH) access is a known problem. Focus groups and key informant interviews were used to capture the lived experiences of community and health care practitioners from Rwanda, Tanzania, Uganda, and Kenya. This article provides lived narratives of the various cultural and environmental conditions leading to assaults directly attributable to inadequate WaSH. The results shed light on the complex intersections between water access and violence and have significant implications for achieving gender equity and universal access to WaSH.

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.508
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.014
GPT teacher head0.282
Teacher spread0.268 · 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