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Record W3150990877 · doi:10.4141/cjss10060

Vertisolic soils of Canada: Genesis, distribution, and classification

2011· article· en· W3150990877 on OpenAlexaffvenueabout
James A. Brierley, H. B. Stonehouse, A. R. Mermut

Bibliographic record

VenueCanadian Journal of Soil Science · 2011
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsUniversity of SaskatchewanAgriculture and Agri-Food Canada
FundersU.S. Department of Agriculture
KeywordsVertisolSoil waterSoil scienceUSDA soil taxonomyGeologySoil classificationGrasslandEnvironmental scienceAgronomy

Abstract

fetched live from OpenAlex

Brierley, J. A., Stonehouse, H. B. and Mermut, A. R. 2011. Vertisolic soils of Canada: Genesis, distribution, and classification. Can. J. Soil Sci. 91: 903–916. The Vertisolic soil order is the most recent addition to the Canadian System of Soil Classification (1998). Soils of the Vertisolic order in Canada occur within the Brown, Dark Brown, and Black soil zones, associated with the Prairie ecozone. Due to the absence of swelling clays in central Canada, morphological characteristics of Vertisolic or vertic intergrades are not recognized in soils occurring to the east of Manitoba. Finetextured parent materials dominated by the presence of swelling silicate clays in conjunction with appropriate climatic factors are the principal soil-forming factors for these soils. Two Great Groups are recognized within the Vertisolic order: the Vertisol and Humic Vertisol. Soils of the Vertisol great group are associated with the arid portions of the Prairie ecozone, specifically the Mixed Grassland ecoregion, and Brown soil zone. Humic Vertisols occur within the Dark Brown and drier portions of the Black soil zone. Each Vertisolic soil great group contains three subgroups: Orthic, Gleyed and Gleysolic. Classification to this level is based upon the presence of mottles (reflecting the duration of soil saturation) within the upper 50 cm of the surface. Vertisolic soils develop in finetextured parent materials of high shrink-swell potential and pose problems for agricultural land use and engineering purposes.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.619

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 head0.017
GPT teacher head0.182
Teacher spread0.164 · 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 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

Citations34
Published2011
Admission routes3
Has abstractyes

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