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Record W316533890 · doi:10.5962/bhl.title.48254

Long-Term Profile and Sediment Morphodynamics: Field Research Facility Case History

2018· book· en· W316533890 on OpenAlexfundno aff
Donald K. Stauble

Bibliographic record

VenueBiodiversity Heritage Library (Smithsonian Institution) · 2018
Typebook
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsnot available
FundersNational Ocean ServiceU.S. Army Corps of EngineersNational Oceanic and Atmospheric AdministrationCanada Excellence Research Chairs, Government of Canada
KeywordsBeach morphodynamicsSedimentSediment transportBeach ridgeSedimentary budgetIntertidal zoneShoreGeologyStormSubaerialOceanographyHydrology (agriculture)GeomorphologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Surface sediment grab samples were collected along one profile line at the Field Research Facility (FRF) at Duck, NC, over a 17.8-month period from March 1984 to September 1985. Profile surveys were taken about every 2 weeks, with sediment samples collected approximately once a month. Extra profile and sediment samples were collected after storms. This comprehensive data set of beach profiles, sediment, and wave and weather conditions provides a unique opportunity to examine natural profile changes and resulting changes in sediment grain-size distribution along the entire length of an active profile and to test and evaluate models of beach profile/sediment interactions to changing coastal processes. Spatial changes indicate that the most active part of the profile at the FRF is the bar/trough area that alternately moves seaward after storms and migrates landward during fair weather wave conditions. The highest variability in sediment grain-size distributions occurred on the subaerial beach and foreshore area. Beach cross-shore sediment distributions, Long-term beach, Beach profile/sediment interaction, profile change, Beach sediment modeling, Waves.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0150.003

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 head0.029
GPT teacher head0.214
Teacher spread0.184 · 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

Citations27
Published2018
Admission routes1
Has abstractyes

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