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Record W2054293908 · doi:10.1002/hyp.7634

Soil piping and catchment response

2010· article· en· W2054293908 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHydrological Processes · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Watershed Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPipingEnvironmental scienceHydrology (agriculture)Surface runoffDrainage basinDrainageGeologyEnvironmental engineeringGeographyGeotechnical engineeringEcology

Abstract

fetched live from OpenAlex

Abstract Over the 40 years, since soil piping was first considered to be a potential factor in the hydrological response of catchments, research has revealed a considerable amount about its hydrological role and its geographical, climatic and pedological distribution. Piping has been shown to be a major factor supporting the hypothesis that subsurface flow can be a significant contributor to quickflow by field experiments ranging from the United Kingdom to Canada, India and China. This research has demonstrated that, at least in some areas, soil pipes may contribute up to nearly 50% of stormwater discharge. Piping processes therefore merit inclusion within rainfall–runoff simulation models, but this has yet to be achieved. Some progress has been made in modelling pipeflow itself, but integration within a catchment model presents major problems, not least in quantifying or parameterizing the nature and distribution of pipe networks. The wider environmental implications of soil piping are also only just beginning to be recognized. These range from the effects of changing residence times on water chemistry, especially on the acidification of surface waters, to the effects of hillslope drainage patterns on soil development and vegetation diversity. Copyright © 2010 John Wiley & Sons, Ltd.

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.

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 score0.306
Threshold uncertainty score0.879

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.231
Teacher spread0.219 · 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