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Record W2007295084 · doi:10.1190/1.3575291

Hydrogeophysical investigation for groundwater at the Dayspring Children's Village, South Africa

2011· article· en· W2007295084 on OpenAlexaff
S. J. Webb, David Ngobeni, M.Q.W. Jones, Tamiru Abiye, Nirocca Devkurran, Racheal Goba, Lewis D. Ashwal, Madeline Lee, Darren Burrows, Louise Pellerin

Bibliographic record

VenueThe Leading Edge · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsMcMaster University
FundersSociety of Economic Geologists Foundation
KeywordsWet seasonDry seasonHydrology (agriculture)GroundwaterAquiferEucalyptusEnvironmental scienceGeologyPhysical geographyGeographyEcology

Abstract

fetched live from OpenAlex

Over the past 30 years, the water available in boreholes at the Dayspring Children's Village has slowly diminished to the point where the school's viability is threatened. In this same time period, a large stand of eucalyptus and yellow wattle trees has become well established. These trees are known to consume large quantities of water and we are investigating the effect of these trees on the local groundwater hydrology. Many types of geophysical and hydrological data—including gravity, magnetic, electrical resistivity, electromagnetic (EM) and seismic—are being acquired to understand the regional geology, seasonal changes and ultimately the impact of the trees on the local hydrology. Electrical resistivity data collected at the end of the dry season and at the end of the rainy season are used to define seasonal changes of a near-surface aquifer. By quantifying the effect of these trees on the hydrology, predictive recommendations on the benefits of tree removal can be made to government.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.046
GPT teacher head0.225
Teacher spread0.179 · 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.

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

Citations5
Published2011
Admission routes1
Has abstractyes

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