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Assessment of a time‐integrated fluvial suspended sediment sampler in a high arctic setting

2010· article· en· W2030703660 on OpenAlexaffabout
Dana McDonald, Scott F. Lamoureux, Jeff Warburton

Bibliographic record

VenueGeografiska Annaler Series A Physical Geography · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil erosion and sediment transport
Canadian institutionsQueen's University
Fundersnot available
KeywordsSediment trapFluvialSedimentEphemeral keyEnvironmental scienceHydrology (agriculture)Trap (plumbing)ArcticFlux (metallurgy)SedimentationGrain sizeBed loadGeologySediment transportOceanographyGeomorphologyEcologyStructural basinEnvironmental engineeringGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract.Two versions of a fluvial sediment trap designed to collect integrated samples of ambient suspended sediment load were deployed in a small river at Cape Bounty, Melville Island, Nunavut in the Canadian High Arctic. Daily and bi‐daily sediment capture in the traps was broadly proportionate with suspended loads estimated directly from daily sediment flux measurements but showed highly variable trap capture rates. Grain size analysis showed that the median grain size (D50) of the captured material was significantly coarser than the ambient material, although the D50 of the two trap versions deployed was not significantly different. These results suggest that the traps did not consistently collect a representative mass or particle size sample in a river environment with highly variable conditions. This is explained by consideration of the hydraulic design of the traps and a highly dynamic stream environment. Hence, deployment of fluvial traps in small ephemeral Arctic rivers will require further testing and refinement of the hydraulic design.Key words: sediment transportparticle sizetrapsediment flux

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 score0.365
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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

Citations27
Published2010
Admission routes2
Has abstractyes

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