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Record W1908486350 · doi:10.1016/0967-0653(96)80452-2

10.1016/0967-0653(96)80452-2

2000· article· en· W1908486350 on OpenAlexvenueno aff
George F. Oertel, Anthony M. Foyle

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyFluvialShoalChannel (broadcasting)PleistocenePaleontologyOceanographyEstuaryGeomorphologyStructural basin

Abstract

fetched live from OpenAlex

The trace of the ancestral Susquehanna River across the modern coastline has been displaced over 40 km southward since the middle Pleistocene. High-resolution seismic reflection data from the inner shelf suggest that submerged-channel fill is responsible for at least three time-lagged channel shifting events during regressive parts of Pleistocene eustatic cycles. Traditional models for tidal-inlet shift are dependent on migrating spit platforms that progressively fill a portion of the updrift side of a channel and directly force excavation of an equivalent portion of material from the downdrift side. Channel migration results in a continuous broad channel-scar representing the integrated positions of channels at time scales of 10 0 to 10 2 years. Seismic data adjacent to the southern Delmarva Peninsula illustrate four separate Pleistocene lowstand pathways for the ancestral Susquehanna River. Although regional spits have migrated between these pathways, there is no evidence of continuous channel migration between the channel traces. The mechanism for channel shifting was glacio-eustatically controlled, and occurred at time intervals of 10 5 years. Channel shifting was operative during early regression when fluvial channels were not confined to their previous antecedent lowstand channels and jumped laterally to new locations. Time-lagged channel shifts are indirectly forced by spit growth during major highstand events and widespread regional flooding. During these events, the ancestral Susquehanna River was no longer confined to its fluvial valley but spread into broad ancestral Chesapeake Bays formed in the drowned Chesapeake Basin. Estuarine sediments, migrating spit platforms, and bay-entrance shoals filled the drowned fluvial channels in the seaward parts of the ancestral bays. During subsequent regressions, the bays shrunk and the flow of the ancestral Susquehanna River jumped to adjacent tidal-flushed pathways and subsequently drained to the shelf edge. During late Pliocene and early Pleistocene Iowstands, at least six major rivers drained across the Chesapeake Basin. Time-lagged channel shifts and stream captures have progressively reduced the number of drainways leaving the basin. During the most recent Stage 2 lowstand, only two or possibly three drainways may have crossed the entrance of the Chesapeake Basin.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.939
Threshold uncertainty score0.259

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)1.0000.999

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 head0.008
GPT teacher head0.160
Teacher spread0.152 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations22
Published2000
Admission routes1
Has abstractyes

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