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Record W1989312597 · doi:10.1080/15287390490492296

PROMOTING THE MANAGEMENT AND PROTECTION OF PRIVATE WATER WELLS

2004· review· en· W1989312597 on OpenAlexaffabout
H.C. Simpson

Bibliographic record

VenueJournal of Toxicology and Environmental Health · 2004
Typereview
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsMinistry of Agriculture, Food and Rural Affairs
Fundersnot available
KeywordsGroundwaterWater supplyWater qualityNuclear decommissioningEnvironmental scienceWater resource managementWater resourcesEnvironmental planningEnvironmental engineeringWaste managementEngineering

Abstract

fetched live from OpenAlex

Rural families in Ontario depend almost entirely on groundwater from private wells for their potable water supply. In many cases, groundwater may be the only feasible water supply source and it requires management and protection. A significant potential source of ground water contamination is the movement of contaminated surface water through water wells that are improperly constructed, maintained, or should be decommissioned. Therefore, proper water well construction and maintenance, and eventual decommissioning, are critical for managing and protecting the quantity and quality of groundwater, as well as ensuring the integrity of rural drinking-water supplies. These actions are important for protecting private water supplies from both potential human and natural contamination. Individual well owners each have a personal interest and valuable role in ensuring the integrity of their water supplies. The following information is required to help well owners ensure the integrity of their water supply: different types of wells, why some wells are at greater risk of contamination than others, and sources of groundwater contaminants; groundwater contaminants, how they can move through soil and water, and potential risks to human health; benefits of ensuring that wells are properly maintained and operate efficiently; and importance of a regular well water quality testing program. This paper summarizes the technical information that should be provided to rural well owners concerning proper water well and groundwater management and protection, and provides an example of how this information can be promoted in an effective manner.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.229
Teacher spread0.214 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations46
Published2004
Admission routes2
Has abstractyes

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