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Record W2908957445 · doi:10.4095/226343

Sedimentology of aggregate pits between Waterloo and London, southern Ontario: a reconnaissance survey for groundwater applications

2009· report· en· W2908957445 on OpenAlexaffabout
H A J Russell, D I Cummings, D R Sharpe, A.F. Bajc

Bibliographic record

Venuenot available
Typereport
Languageen
FieldAgricultural and Biological Sciences
TopicSoil erosion and sediment transport
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologySedimentologyMoraineFaciesLandformArchaeologyOutwash plainSection (typography)GeomorphologyGeographyGlacier

Abstract

fetched live from OpenAlex

Thirty-three aggregate pits between Cambridge and London are documented. The pits are situated in a variety of landforms (moraines, drumlinized uplands, hummocky terrain, outwash plains), geological map units, and stratigraphic positions. Many have not been documented previously. The objective was to capture a snapshot of the general sedimentary character of as many pits as possible in a four day timeframe. For each pit, a point form summary is provided followed by a general description and photographs that document the facies architecture of the deposits. A summary section provides a brief synthesis of the observations and highlights three key hydrogeological points that can be further understood by study of these deposits. Detailed sedimentological observation in this integrated regional framework provides the opportunity to begin a re-assessment of the underlying conceptual geological models for parts of southern Ontario.

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 score0.017
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.076
GPT teacher head0.273
Teacher spread0.197 · 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
Published2009
Admission routes2
Has abstractyes

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