Mapping of cisterns and water quality analysis at the Nova Assunção settlement in Aracoiaba, Ceará
Bibliographic record
Abstract
The work aimed at mapping cisterns and analyzing water quality in the Nova Assunção settlement located in the semi-arid region of Aracoiaba, Ceará. The delimitation of the study area and the manipulation of the cartographic data were performed with the ArcMap 10.3 program. The Global Positioning System (GPS), the Garmim 76scx model, obtained the geographic location of each cistern. A semi-structured questionnaire on the use of water and ways of handling in cisterns was applied in the study area. Six physical- chemical parameters were evaluated in the water: temperature, turbidity, hydrogen ion potential (pH), total dissolved solids (STD), electrical conductivity (EC) and apparent color. Seventeen cisterns were mapped, of which 100% is used for human consumption, 76.5% of which had no protective screen. In the water analysis, inadequacy was observed for the parameters apparent color, EC, turbidity, and pH. In four cisterns, there was 50% irregularity in the attributes. Thus, the mapped cisterns are an an indispensable alternative for the storage and guarantee of water in the settled community, however, some hygiene measures are necessary to improve the use, since the highest destination of water corresponds to human consumption followed by domestic use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".