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Record W2411303664 · doi:10.1061/9780784479919.077

Fort Tilden Historical Bulkhead Assessment

2016· article· en· W2411303664 on OpenAlexaff
Bethany Bearmore, Brett Ozolin, Patricia Sacks

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsBerger (Canada)
Fundersnot available
KeywordsBulkhead (partition)ShoreEnvironmental resource managementEnvironmental scienceRisk analysis (engineering)Computer scienceGeologyBusinessOceanography

Abstract

fetched live from OpenAlex

The overall purpose of the Fort Tilden project is to understand the potential impacts from future storms on existing natural and cultural resources, infrastructure, and safety of surrounding communities, and to use this as a guide for siting and designing future coastal protection measures. One existing protection measure that was exposed from the storm is the existing timber bulkhead. This paper assesses the bulkhead and groin system functions by utilizing a shoreline structure assessment and determines what coastal protection measures, if any, the bulkhead is providing currently or in the future. Beyond the condition assessment, a range of treatment options and initial costs were generated as an initial step in evaluation and recommendation of treatment for the bulkhead in the Fort Tilden Beach Environmental Assessment. This alternative analysis was performed to ascertain what defense measures are necessary to achieve the desired natural and cultural resource protection conditions for the site.

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 score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.003

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 head0.011
GPT teacher head0.212
Teacher spread0.201 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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