MétaCan
Menu
Back to cohort

Water Supply and Sanitation in Peri-Urban Areas of Developing Country: A Case Study of Faisalabad, Punjab, Pakistan

2012· article· en· W32188719 on OpenAlexfundno aff
Shahbaz Ali Khan

Bibliographic record

VenueScience Translational Medicine · 2012
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersNational Institutes of HealthHospital for Sick ChildrenLung Health FoundationNational Institute for Health and Care Research
KeywordsSanitationWater supplyWater resource managementDeveloping countryOpen defecationBusinessGeographyPeriEnvironmental planningEnvironmental protectionEconomic growthEnvironmental scienceEnvironmental engineeringEconomicsMedicine

Abstract

fetched live from OpenAlex

The purpose of this paper is to assess prevailed water and sanitation issues in peri-urban areas of Punjab, Pakistan. The suitable ways to develop sustainable sanitation system in relation with governance support need to be found for such zones. The analysis of empirical research suggested few important results as follow: global water and sanitation issues in peri-urban zones correlated with area specific issues; public awareness and guidelines for operation of technical systems suggested as solution in designed model was a major challenge. Inhabitants were aware of re-use of human wastes in agriculture because of old tradition in Pakistan. The usage and handling of dry toilet system was also another challenge. Corruption in society at each level from local area to government found to be the major hurdle for successful implementation of any project.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.340
Teacher spread0.311 · 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 designObservational
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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueScience Translational MedicineSame topicChild Nutrition and Water AccessFrench-language works237,207