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Record W6949659542 · doi:10.5281/zenodo.15720983

Geomorphic Preservation and Formational History near Cape Canaveral, Florida, USA: Implications for Coastal Resiliency and Paleo-Sea Level Characterization

2025· article· en· W6949659542 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsStrathcona Community HospitalConocoPhillips (Canada)
Fundersnot available
KeywordsCapeShoreBeach ridgeCoastal geographyAeolian processesStormCoastal erosionCoastal managementSea levelRidge

Abstract

fetched live from OpenAlex

The Cape Canaveral (Florida, USA) coastline is an area of critical strategic importance due to the role it plays in access to space, its ecological sensitivity, as well as a center of technological innovation. This area is situated on a passive continental margin where the coastal morphology is primarily influenced by oceanographic processes, including sea level changes and wave dynamics, as well as meteorological processes such as tropical storms and aeolian (wind-driven) sediment transport. Through time, these dominant processes have preserved a set of well-defined beach ridge systems referred to as capes. This study aims to interrogate the preserved and evolved geomorphic elements at Cape Canaveral and its surrounding area, termed the Cape Kennedy Complex, including the Pamlico shoreline in the west through to the present-day Atlantic shoreline in the east, with a well-documented paleo-sea level history spanning the last 150,000 years with the aim to better understand the temporal and spatial evolution of this area.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.759

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.036
GPT teacher head0.213
Teacher spread0.176 · 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
Published2025
Admission routes1
Has abstractyes

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