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Record W7125597587 · doi:10.25316/ir-20553

Investigating the Relationships Between Age and Depth of Stockpiled Topsoil with Its Nutrient Content: An Analysis of Responsible Factors and Potential Consequences

2018· dissertation· en· W7125597587 on OpenAlexaboutno aff
John William Entz

Bibliographic record

VenueVIUSpace (Vancouver Island University Library) · 2018
Typedissertation
Languageen
FieldEnvironmental Science
TopicMine drainage and remediation techniques
Canadian institutionsnot available
Fundersnot available
KeywordsTopsoilSoil waterOrganic matterTotal organic carbonSoil qualitySoil organic matterLand reclamationSoil test

Abstract

fetched live from OpenAlex

Storing topsoil in stockpiles is intended to preserve the quality of soils for reclamation purposes. Literature review revealed inconsistent and sometimes conflicting data that points to potential degradation concerns. The research completed included analyzing soil samples from three different ages of 44 years, 25 years and 5 years storage that were sampled in the Carmon Creek area of the Peace Region of Northern Alberta. The samples were analyzed for pH, macronutrients, micronutrients, total organic carbon and organic matter. Descriptive statistics and correlation analysis were used to determine if there were significant chemistry changes between age and depth of stockpiled soils. The results indicated a small change in organic matter and carbon but a large change in pH, electrical conductivity, calcium, nitrates and sulphates and some fixation of phosphates and potassium in age and depth of soil stockpiles. This could create challenges for the use of the stockpiled soils in reclamation.

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 score0.173
Threshold uncertainty score0.842

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.020
GPT teacher head0.211
Teacher spread0.192 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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