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Record W2258536205 · doi:10.5539/ep.v5n1p1

Perceived Health Hazards of Low-Quality Irrigation Water in Vegetable Production in Morogoro, Tanzania

2015· article· en· W2258536205 on OpenAlex
Winfrida Mayilla, Flavianus Magayane, Bernard Keraita, Helena Ngowi

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnvironment and Pollution · 2015
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersDanish International Development Agency
KeywordsTanzaniaIrrigationAgricultural scienceEnvironmental healthDescriptive statisticsFocus groupSocioeconomicsProduction (economics)GeographyToxicologyBusinessMedicineMathematicsEnvironmental scienceMarketingStatisticsEconomicsAgronomyBiology

Abstract

fetched live from OpenAlex

<p>This study assessed the perceptions of vegetable farmers, traders, consumers and key informants on the health hazards of using low-quality water in irrigation vegetable production in Morogoro, Tanzania. Methods used to collect data were a survey involving all farmers in Changarawe village and Fungafunga area using low-quality water for irrigation vegetable production (n=60), consumers of low-quality water irrigated vegetables (n=70) and vegetable traders selling low-quality water irrigated vegetables (n=60), focus group discussions (n=7) and key informant interviews (n=25). The study employed cross sectional research design. Descriptive statistics were used to calculate mean, frequencies and percentages while Mann-Whitney U-test and Kruskal-Wallis H-test assessed the association between social-demographic variables and respondents score on the health hazard perception scale of using low-quality water in vegetable production. Results showed skin itching, fungal diseases, bilharzias and worm infestation as among the perceived health hazards in using low-quality irrigation water. Health hazard perception differed among groups of farmers, consumers and vegetable traders (<em>p<</em>0.001). The mean ranks of the groups indicated that farmers perceive less health hazards in using low-quality water (mean rank = 147.98) compared to consumers (mean rank = 72.68) and vegetable traders (mean rank 69.64). More health hazards were perceived by Fungafunga farmers compared to farmers from the Changarawe village (<em>p<</em>0.001) while female farmers perceived less hazards in using low-quality water than male farmers <em>(p </em>< 0.05). Consumers with formal education perceived more health hazards than consumers with no formal education (<em>p</em> < 0.001) while vegetable traders from Fungafunga area perceived more health hazards in selling low-quality water irrigated vegetable than vegetable traders from the Changarawe village (<em>p<</em>0.001). These findings demonstrate the need to design health hazards minimization interventions for specific target group. </p>

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.306

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)0.0000.000

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 head0.023
GPT teacher head0.274
Teacher spread0.251 · 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