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Record W4394686663 · doi:10.2166/washdev.2024.083

Constructing a toilet standard system for the toilet revolution in China

2024· article· en· W4394686663 on OpenAlexaff
Shikun Cheng, Ziwang Ye, Xinying Li, Musa Manga, Caetano C. Dorea, Zhengxian Chen, Zifu Li, Xiaolei Ma, Heinz‐Peter Mang, Tianxin Li

Bibliographic record

VenueJournal of Water Sanitation and Hygiene for Development · 2024
Typearticle
Languageen
FieldHealth Professions
TopicPediatric health and respiratory diseases
Canadian institutionsUniversity of Victoria
FundersNational Natural Science Foundation of China
KeywordsToiletStandardizationSanitationTechnical standardInternational standardChinaStandard systemBusinessStandard of livingEngineeringEngineering managementComputer sciencePolitical scienceWaste managementConstruction engineeringEnvironmental engineeringTelecommunications

Abstract

fetched live from OpenAlex

Abstract Access to adequate and secure sanitation to prevent and reduce disease occurrence and improve people's health has been a longstanding global concern. Toilet standardization is immensely important for the promotion of sanitation in China. At present, China has more than 200 toilet-related standards, including national, industrial, provincial, association, and enterprise standards. In addition, there are many existing problems with the standard system, such as standards lagging, standards deficiency, and cross-repetition of standards content. This study analyzed the toilet standards utilizing a six-dimensional structure of the standardized system engineering methodology. A framework for the toilet standard system, which consists of six components, is proposed: basic general standard, public toilet standard, household toilet standard, toilet hardware standard, environmental health and safety standard, and toilet accessory standard and standard toilet peripherals. Additionally, the study suggests approaches for improving standardization including cultivating and developing association and enterprise standards, establishing a standardization technical committee, strengthening standard publicizing and implementation, and linkages with international standards.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.038
GPT teacher head0.369
Teacher spread0.331 · 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.

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

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

Citations13
Published2024
Admission routes1
Has abstractyes

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