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Record W2017634325 · doi:10.2166/wh.2013.222

Perceptions of bottled water consumers in three Brazilian municipalities

2013· article· en· W2017634325 on OpenAlexaff
Josiane Teresinha Matos de Queiroz, Miguel de França Doria, Mark W. Rosenberg, Léo Heller, Andréa Zhouri

Bibliographic record

VenueJournal of Water and Health · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicFecal contamination and water quality
Canadian institutionsQueen's University
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsBottled waterBusinessWater supplyTap waterEmpowermentWater qualityConsumption (sociology)PopulationMarketingEnvironmental healthEconomic growthEconomicsEnvironmental engineeringEnvironmental scienceSociology

Abstract

fetched live from OpenAlex

This study presents perceptions of consumers of bottled water in their households in three Brazilian municipalities. Data from interviews were analyzed using the Discourse Collective Subject method. Interviewees spent, on average, the equivalent of 40% of their water bill for the public water supply on the purchase of bottled water. The decision about water consumption in the household was predominantly made by women. Interviewees were particularly concerned with health risks and expressed a strong preference for the safety and organoleptic qualities of bottled water, particularly in cases where the tap water supply did not fully meet the regulated water quality standards. Interviewees were largely unaware of the origin, type, storage, and social and environmental impacts of bottled water. Results highlight the importance of water education efforts among the general population and the key role of women in the processes related to drinking water. The need for gender-specific interventions and the empowerment of women on water issues is noted. Results also strongly support the relevance of ensuring the provision of safe drinking water, from the source to the consumption point, with the trust of consumers.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.085
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.299
Teacher spread0.267 · 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

Citations38
Published2013
Admission routes1
Has abstractyes

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