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Record W2100945014

Negative impact of abandoned coal mine workings on drinking water quality and the health of residents on Vancouver Island

2006· dissertation· en· W2100945014 on OpenAlexaboutno aff
Karla Joy Biagioni

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicHeavy Metal Exposure and Toxicity
Canadian institutionsnot available
Fundersnot available
KeywordsGroundwaterCinnabarCoal miningEnvironmental scienceWater qualityCoalPollutionGeographyEnvironmental engineeringWater resource managementMining engineeringEnvironmental protectionEnvironmental healthArchaeologyGeologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

The Nanaimo Coalfield was a major coal producer between 1852 and 1968. During this time, coal was mined extensively in the area of South Wellington. The quality of groundwater in South Wellington may be adversely affected as mine site abandonment causes a deterioration of the hydrological system. This thesis employed a case-control study and examined the quality of drinking water and geographic variations in health of residents in two communities on Vancouver Island, South Wellington and Cinnabar, The control group, situated in Cinnabar, derives its water from the City of Nanaimo. However private groundwater wells supply drinking water to the study group, South Wellington. Abandoned coal mine workings degrade groundwater and in turn may affect the public through non-point source pollution. Disease and ill health are more common in South Wellington than in Cinnabar. The analyses of well water samples in South Wellington have revealed high levels of total dissolved solids and total conform, aluminum, antimony, arsenic, cadmium, iron, lead, selenium, sodium and thallium. Each of these elements has been linked to various diseases and disorders and may be predictive of ill health in South Wellington.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.616

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.311
Teacher spread0.294 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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