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Record W2051536899 · doi:10.1002/hyp.6419

Wind‐forced seiche events on Great Slave Lake: hydrologic implications for the Slave River Delta, NWT, Canada

2006· article· en· W2051536899 on OpenAlexafffundabout
J. T. Gardner, Michael English, Terry D. Prowse

Bibliographic record

VenueHydrological Processes · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsUniversity of VictoriaWilfrid Laurier UniversityWestern University
FundersWilfrid Laurier University
KeywordsSeicheDeltaGeologyHydrology (agriculture)Water levelStructural basinRiver deltaClimatologyOceanographyGeomorphologyGeography

Abstract

fetched live from OpenAlex

Abstract A limited amount of research has focused on northern lacustrine deltas and the impacts of basin processes prevalent at these deltas. Wind‐forced seiche events have received little focus in deltaic studies. The Slave River Delta, located on the south shore of Great Slave Lake (GSL), NWT, is an ideal environment to study the prevalence of wind‐forced seiche events and the impact of seiche events on the hydrodynamics of the delta. This paper presents an historical analysis of seiche activity on GSL and the effect of seiches on water levels of the Slave River Delta. The seasonality, frequency, and magnitude of seiche events on the lake are quantified. A description of the wind characteristics that force these events is included. The radial distributary pattern of the delta suggests that water level response to seiche events within the delta may be particularly complex. Hydrologic data from delta distributaries illustrate the temporal and spatial dynamics of seiche response. During the open‐water season, seiche response in the delta is affected by the seasonal hydrograph of the Slave River and wind conditions. Spatially, the slope of delta distributaries governs seiche response. Responses are most similar among zones in the delta rather than among different distributaries. Copyright © 2006 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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.219
Teacher spread0.198 · 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.

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

Citations22
Published2006
Admission routes3
Has abstractyes

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