A Modular Approach for Dune Protection and Shoreline Stabilization in East Hampton, NY
Bibliographic record
Abstract
Recent storm events, such as the storms in the fall of 2009 and Superstorm Sandy in 2012, have eroded beaches and dunes in the downtown Montauk, NY, area. The culmination of these storms have created a potentially imminent hazard that has left many commercial buildings along the shoreline vulnerable to damages from future storms. Beach and dune erosion caused by Superstorm Sandy has partially undermined several shorefront structures in downtown Montauk, leaving the area vulnerable to damage from future storms. A stabilization project was developed in cooperation with the Army Corps of Engineers, New York State Department of Environmental Conservation, and East Hampton, NY town officials. A unique component of this project was the use of modular geotextile containers instead of geotextile tubes for the core of the dunes. Geotextile containers can provide an alternative over traditional geotextile tubes; they are fabricated with high capacity seams to produce bag or pillow shaped containers. When filled with sand or other soils, the geotextile containers are used to construct revetments and other hydraulic structures such as filling in scour holes, closing breached dykes, and as basic armor units for erosion protection works. Geotextile containers are engineered to provide strength, durability, and soil tightness to perform during installation and during operational life. They are easy to use and can be rapidly mobilized if necessary for emergency works. This paper will discuss the material selection, development, construction, and installation of this stabilization effort utilizing geotextile containers for dune protection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".