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Record W2068372296 · doi:10.2166/washdev.2012.102

Rainwater harvesting in rural Trinidad; a cross sectional, observational study

2012· article· en· W2068372296 on OpenAlexfundno aff
Jonathan Dean, Fredericka M. Deare, Keizel Kydd, Jennie Ward-Robinson, Paul Hunter

Bibliographic record

VenueJournal of Water Sanitation and Hygiene for Development · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicFlood Risk Assessment and Management
Canadian institutionsnot available
FundersRoyal Bank of Canada
KeywordsRainwater harvestingGovernment (linguistics)Observational studyBusinessWater supplyWater qualityEnvironmental planningPotable waterWater resource managementWater sourceGeographyEnvironmental scienceEnvironmental engineeringMedicine

Abstract

fetched live from OpenAlex

Rainwater harvesting is a well-established practice in many parts of the world. In the right environment it can provide a convenient, inexpensive and sustainable source of potable water. This study explored rainwater collecting system use within rural Trinidadian communities. Data regarding participants' demographic details, water practices, health- and water-related beliefs were collected from six separate regions late in 2009 using a purpose designed questionnaire. The findings, obtained from the 1,523 study participants resident in 292 households were analysed. Almost half (130) of the participating households utilised rainwater as their main supply although some found it necessary to switch to alternative sources during dry periods. The majority of participants (478) who harvested rainwater were very satisfied with the quality of their water and relatively few (212) were concerned that it may pose a risk to their health. Rainwater harvesting systems are well established in Trinidad and are well accepted by those who use them. Further research is needed to establish why more households do not adopt this technology as alternative sources remain inconsistent and inadequate in many respects. These findings will assist individuals and government agencies in making informed decisions when planning and managing water sources on the island.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.240

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 science0.0000.000
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 head0.081
GPT teacher head0.330
Teacher spread0.249 · 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 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

Citations5
Published2012
Admission routes1
Has abstractyes

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