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Record W4240860566 · doi:10.24124/2015/bpgub1024

Suspended sediment flux downstream of the retreating Castle Creek Glacier, Cariboo Mountains, British Columbia.

2015· dissertation· en· W4240860566 on OpenAlexfundaboutno aff
Michael Strathearn Leggat

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaLiverpool John Moores UniversityMinistry of EnvironmentUniversity of Northern British Columbia
KeywordsGlacierMeltwaterHydrology (agriculture)SedimentFluvialGeologyStormGeomorphologyFlux (metallurgy)Period (music)Glacial periodSediment transportStreamflowPhysical geographyOceanographyDrainage basinGeographyStructural basinGeotechnical engineeringCartography

Abstract

fetched live from OpenAlex

Glaciers are a major erosive force that increase sediment load to the downstream fluvial system.The Castle Creek Glacier, British Columbia has retreated ~1.0 km in the past 70 years.The dynamics o f suspended sediment concentration (SSC) and streamflow (Q) were monitored independently at six sites within its proglacial zone over a 60 day period from July to September, 2011.The time-series were divided into hydrologic days and the SSC response to hydro-meteorological conditions was categorized using principal component analysis (PCA) and cluster analysis (CA).Suspended sediment load (SSL) was computed and summarized for the categories.During the 2011 study period, c. 60% of the total SSL was derived from the glacial stream and sediment deposits proximal to the terminus o f the glacier; during 'storm' events, that contribution drops to 40% as contribution from diffuse and point sources o f sediment within the meltwater channel and proglacial zone increase.While 'storm' events accounted for just 3% o f the field season, SSL was 500% higher than the seasonal average, and c. 20% of the total SSL was generated in that time.I would like to express my sincere gratitude to the people and organizations that have supported me through this process.My supervisor, Dr. Philip Owens, has provided me with guidance, support, and encouragement as well as the insight, freedom and flexibility needed to develop, steer and complete this project.Dr. Tim Stott from Liverpool John Moores

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.227
Teacher spread0.211 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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