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Record W2061328002 · doi:10.1177/0959683609348844

Reinterpretation of past sea-level variation of the Bay of Fundy

2010· article· en· W2061328002 on OpenAlexafffund
Maria‐Theresia Graf, Gail L. Chmura

Bibliographic record

VenueThe Holocene · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsGeologyBayDikeSalt marshSubsidenceOceanographyMarshSea levelEstuaryPeriod (music)AggradationWetlandPaleontologyStructural basinEcology

Abstract

fetched live from OpenAlex

Reports of shifts in rates of aggradation in a salt marsh deposit at Amherst Point, Nova Scotia have been linked with fluctuations in eustatic sea level, crustal subsidence and, possibly, changes in tidal amplitude. However, evidence for the most recent fluctuation is an artifact of early Acadian land reclamation that occurred in the seventeenth century at Amherst Point. Acadian settlers had constructed dikes to prevent regular tidal flooding, but probably allowed occasional flooding of the surface by tidal waters, thus maintaining the salt marsh signature of the deposit. Statistical analysis of the pollen assemblage from the uppermost deposit interpreted as a regressive sequence aligns critical depths with pollen assemblages retrieved from modern soils of diked and drained marshes. Inspection of historical aerial photographs confirms that the dikes persisted on the site until at least 1939. Interpretations of earlier fluctuations recorded in deposits below this regressive sequence remain valid. It is possible that the Bay of Fundy experienced a regressive period just prior to Acadian diking, but future research on unexamined salt marsh deposits here or elsewhere must include an exhaustive search of historical documents to avoid misinterpretation of anthropogenic modifications.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.682

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 head0.022
GPT teacher head0.241
Teacher spread0.219 · 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.

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
Published2010
Admission routes2
Has abstractyes

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