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Record W4410340260 · doi:10.1130/ges02844.1

River incision, seepage erosion, sea-level change, and the development of a coastal plain landscape since 15 Ma in the New Jersey Pine Barrens, USA

2025· article· en· W4410340260 on OpenAlexaff
Scott D. Stanford, Peter J. Sugarman, Francine M.G. McCarthy

Bibliographic record

VenueGeosphere · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsBrock University
Fundersnot available
KeywordsCoastal plainGeologyPine barrensErosionCoastal erosionHydrology (agriculture)Disturbance (geology)GeomorphologyArchaeologyOceanographyGeotechnical engineeringForestryGeographyPaleontology

Abstract

fetched live from OpenAlex

Abstract Fluvial, estuarine, and marine deposits record landscape development and relative sea-level (RSL) change since 15 Ma in the Pine Barrens region of the New Jersey Coastal Plain. Coastal deposits that aggraded to an elevation of +60 m record rising RSL from 20 Ma to 15 Ma, and sequentially inset fluvial plains and offlapped coastal sequences record RSL decline to −5 m at 5 Ma. Coastal deposits record RSL highstands in the Pliocene (+20 m) and middle and late Pleistocene (+20 m at marine isotope stage [MIS] 11 or 9, and +10 m at MIS 5e). Denudation after 15 Ma was accomplished by successive river incisions in response to RSL declines accompanied by widening of valleys by seepage erosion, producing terraces and pediments and theater-like valley heads. Denudation from the incision-seepage process can be quantified by reconstructing the topography of a 2400 km2 region at five time periods (11 Ma, 7 Ma, 2 Ma, 125 ka, and 15 ka) based on the extent of surficial deposits of those ages and then subtracting successive reconstructions. This method yields an overall denudation rate of 3.9 m/m.y. (3.1–5.5 m/m.y. uncertainty range), which resolves spatially (as 60 × 60 m grid cells) to a range of <1 m/m.y. on upland remnants of the oldest fluvial plain to 110 m/m.y. during MIS 2 in stream channels connected to the Hudson shelf valley. These rates are at the low end of those measured in areas of higher relief in the Appalachians, indicating that seepage erosion is an effective denudational agent in low-relief coastal plains.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.247
Teacher spread0.218 · 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 teacher head, not a consensus.

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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