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Record W3215864136 · doi:10.2166/ws.2021.409

Water Poverty Indices of three rural communities in the southern Caribbean

2021· article· en· W3215864136 on OpenAlexfundno aff
Akilah T. M. Stewart, Catherine Seepersad, Aliya Hosein, Vrijesh Tripathi, Azad Mohammed, John Agard, Adrian Cashman, Dave D. Chadee, Adesh Ramsubhag

Bibliographic record

VenueWater Science & Technology Water Supply · 2021
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsPovertyGeographyIndex (typography)Resource (disambiguation)PopulationWater supplyWater resourcesScale (ratio)Rural areaDiversity (politics)SocioeconomicsEnvironmental protectionEconomic growthEnvironmental scienceCartographyEcologyEnvironmental engineeringPolitical scienceDemographyEconomics

Abstract

fetched live from OpenAlex

Abstract The Caribbean region experiences significant water supply challenges, especially for 30% of the population who live in rural areas. Improved water resource management in this region would enhance water availability for its population, but this requires reliable quantitative data to guide relevant policy decisions. The Water Poverty Index (WPI) and its components can be valuable sources of such data but there has not been any recent calculation of this index for countries or communities in the Caribbean. In this study, the WPI was determined for three rural communities in the southern Caribbean: Carriacou, Grenada; Nariva, Trinidad and Tobago; and Speightstown, Barbados. Using data collected from 606 surveys of households as well as published statistics, the overall WPI scores were calculated to be 65/100 for Carriacou, 65/100 for Nariva and 70/100 for Speightstown, which all fell in the ‘medium-low’ and ‘low’ water poverty scale respectively. Resource and Use components had the lowest scores and thus require urgent attention. There were no statistically significant differences across the major components, which demonstrates the common water-related challenges in these Small Island Developing States, despite geographical diversity. This research will aid in defining national water resource management policies in rural communities of the Caribbean.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.777

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.013
GPT teacher head0.239
Teacher spread0.226 · 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 designBench or experimental
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

Citations4
Published2021
Admission routes1
Has abstractyes

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