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Record W4411157122 · doi:10.1080/07900627.2025.2505867

Assessing the importance of gender transformative WASH: evidence from a gender-mainstreamed WASH programme in Bangladesh

2025· article· en· W4411157122 on OpenAlex

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

VenueInternational Journal of Water Resources Development · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsQueen's University
FundersNorges ForskningsrådSvenska Forskningsrådet Formas
KeywordsTransformative learningGender mainstreamingPsychologyGender equalityNatural resource economicsEconomic growthEnvironmental planningWater resource managementEnvironmental scienceSociologyEconomicsGender studiesPedagogy

Abstract

fetched live from OpenAlex

Water, sanitation and hygiene (WASH) services are crucial for gender equality but their gender-transformative potential has received less attention in terms of intervention design and evaluation. We compared empowerment levels among participants in a gender-transformative WASH programme in Satkhira, Bangladesh which integrated components such as household decision-making and social norms, to non-participants using the Empowerment in WASH Index. Women participants had higher empowerment than all other groups, including men in both areas. The results show the potential of gender transformative WASH approaches to not only achieve targeted improvements in WASH but also make meaningful and measurable contributions to gender equality.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.047
GPT teacher head0.335
Teacher spread0.288 · 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