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Dryland Cropping in the Canadian Prairies and the U.S. Northern Great Plains

2006· book-chapter· en· W79304454 on OpenAlexaboutno aff
V. L. Cochran, Joan Danielson, R. L. Kolberg, Perry R. Miller

Bibliographic record

VenueAgronomy monograph/Agronomy · 2006
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyCroppingAgroforestryTillageCropSpring (device)AgronomyBorealTaigaAgricultureEnvironmental scienceForestryBiologyArchaeology

Abstract

fetched live from OpenAlex

The Canadian Prairies are located south of the boreal forest, but encompass some of the mixed grass-forest interface. The climate of both the northern Great Plains of the USA and the Canadian Prairies is typically continental with long cold winters and short warm summers. Traditionally, spring-seeded small grains have been the most common crops grown in the Canadian Prairies, especially hard red spring wheat and durum wheat. Agricultural expansion in the Canadian Prairies and northern Great Plains was initiated and has developed through most of the past century with the use of some form of tillage. Placing the fertilizer close to the seed has been shown to enhance crop uptake and reduce the competition from weeds. Many areas of the northern Great Plains have responded to the current round of low commodity prices by increasing crop diversity and cropping the land more intensively.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.012
GPT teacher head0.179
Teacher spread0.167 · 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

Citations23
Published2006
Admission routes1
Has abstractyes

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