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Record W1575606380

Long Beach Breakwater System

2013· article· en· W1575606380 on OpenAlexaff
Jillian Butt

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsBreakwaterCoastal erosionBeach nourishmentShoreGeotechnical engineeringRubbleGeologyErosionEngineeringOceanographyGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

The Long Beach breakwater structure is located in Long Beach, California. It is one of three breakwater structures that span 13.4 kilometers along the shoreline. These breakwater structures were constructed by the US army to protect naval ships in World War II. Recently, this breakwater system has received attention from the community questioning its relevance after the war. Breakwater structures reduce the intensity of wave action on the shoreline, and reduce erosion. They also provide a defence against possible storm waves. They are typically designed to absorb the wave’s energy by using mass or with the use of a slope. The Long Beach breakwater structure is known as a rubble mound breakwater, constructed of rockfill for a span of 4 kilometers. This helps to protect low-lying property and structures along the coast line. Although breakwater systems reduce the energy of waves, they also have adverse effects on the shoreline. They prevent the sea’s natural circulation which causes sedimentation and poor water quality. This has the people of Long Beach interested in the removal of the breakwater as they want cleaner beaches in an effort to increase tourism. The following paper will outline the community’s main arguments to remove the breakwater, design principals of rubble mound breakwater systems, the need for these systems, and the adverse effects they have on the environment. It will also look at the results of the initial reconnaissance study conducted by the engineering firm. In this study, the engineering firm determined a rough estimate of the cost of the project, as well as the possibilty of profits for the city if they reconfigure the breakwater structure.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score0.591

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1770.045

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 head0.005
GPT teacher head0.168
Teacher spread0.163 · 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
Published2013
Admission routes1
Has abstractyes

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