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Record W4240173908 · doi:10.1596/978-1-4648-1250-7_ch6

Clean water and sanitation: Ensure availability and sustainable management of water and sanitation for all

2018· book-chapter· en· W4240173908 on OpenAlexaboutno aff

Bibliographic record

VenueThe World Bank eBooks · 2018
Typebook-chapter
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
Fundersnot available
KeywordsSanitationOpen defecationHygieneToiletBusinessWater supplyClean waterEnvironmental planningQuarter (Canadian coin)Water resource managementGeographyEngineeringEnvironmental engineeringEnvironmental scienceMedicineWaste management

Abstract

fetched live from OpenAlex

Reveals that while drinking water proves essential to life, only 71 percent of people globally have water considered safely managed. In Sub-Saharan Africa, 58% of people have access to at least basic water, but less than half have access to safely managed water. Rural dwellers prove less likely than their urban counterparts to have access to at least basic water, and poorer people remain less likely have safe water piped to their homes. Globally, 6 in 10 people use sanitation facilities without safe management, which may contribute to the spread of disease, while India still has the largest number of people practicing open defecation. In Latin America & Caribbean 86 percent of people have access to at least basic sanitation, but only a quarter of those have access to safely managed sanitation. Hand washing makes an important contribution to hygiene, but many households, especially among the poor, lack basic facilities.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0490.021

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 head0.019
GPT teacher head0.253
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2018
Admission routes1
Has abstractyes

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