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Record W4410866729 · doi:10.9753/icce.v38.sediment.101

XBEACH MODELLING OF A MIXED SAND AND GRAVEL SHORELINE: EAST VANCOUVER ISLAND

2025· article· en· W4410866729 on OpenAlexaboutno aff
Laura Ramsden, Grant Lamont, Wil Hilsen, Phil Osborne, Neville Anne Berard

Bibliographic record

VenueCoastal Engineering Proceedings · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsShoreGeologyGeographyOceanographyGeomorphology

Abstract

fetched live from OpenAlex

The study site is a coastal spit located in the Englishman River estuary, located at Parksville, British Columbia approximately 80 km west of Vancouver as shown in Figure 1. In this paper, we present a holistic approach to evaluating nature-based solutions and assessing coastal processes of a mixed sediment shoreline by integrating coastal process modelling using XBeach (Deltares, 2018) with geomorphic assessment This study applied a hybrid approach using both XBeach 2D which has been shown to have good quantitative skill in predicting storm response of sandy beaches and a modified 1D version, XBeach-G, which has been applied with some success to modelling uniform gravel beaches (McCall et al, 2014). The 2D (sand) and 1D (gravel) versions were applied in the surf beat mode and non- hydrostatic mode, respectively.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.880

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.168
Teacher spread0.161 · 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 designSimulation or modeling
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
Published2025
Admission routes1
Has abstractyes

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