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Record W4323359968 · doi:10.1080/09687599.2023.2181770

Access to water, sanitation and hygiene (WASH) for persons with disabilities in school settings: A call for research

2023· article· en· W4323359968 on OpenAlex
Ebenezer Dassah, Elijah Bisung

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDisability & Society · 2023
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsQueen's University
FundersCanadian Institutes of Health ResearchKwame Nkrumah University of Science and Technology
KeywordsSanitationHygieneUniversal designBusinessEnvironmental healthResource (disambiguation)Service (business)PsychologyPublic relationsMedical educationMedicinePolitical scienceMarketingComputer science

Abstract

fetched live from OpenAlex

Improving access to water, sanitation and hygiene (WASH) services in school settings is critical in addressing access disparities experienced by persons with disabilities. As such, the Sustainable Development Goals (SDGs) established ambitious targets which aim to achieve universal access to water and sanitation by 2030. Despite this, access to inclusive WASH services in schools remain a big challenge in many resource-constrained settings. This review seeks to examine access to WASH for persons with disabilities in school settings. We undertook a review to identify a wide range of evidence from peer-reviewed sources. We identified only two studies, and they revealed environmental, social and institutional barriers that negatively affect persons with disabilities’ access to WASH services. We concluded the review with a call for urgent attention to build on this knowledge base as well as practical steps to improve WASH service provision in school settings in low- and middle-income countries.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.089
GPT teacher head0.405
Teacher spread0.316 · 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