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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 OpenAlex
Josiane Teresinha Matos de Queiroz, Miguel de França Doria, Mark W. Rosenberg, Léo Heller, Andréa Zhouri

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.998

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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