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Record W3171002081

1,500-yr record of paleotsunamis impacting Ahuriri Lagoon (Hawke's Bay), New Zealand

2021· article· en· W3171002081 on OpenAlexaboutno aff
Anthony Giang

Bibliographic record

VenueSFU Undergraduate Research Symposium Journal · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubductionGeologyBayRadiocarbon datingSubmarine pipelineSeismologyOceanographyPaleontologyTectonics
DOInot available

Abstract

fetched live from OpenAlex

Tsunamis pose great hazards to many of the world's coastlines such as the Cascadia Subduction Zone located offshore Vancouver Island. Subduction zones are responsible for devastating earthquakes and tsunamis such as the 2004 Indian Ocean and 2011 Tohoku events. Historical records of tsunamis along the Hikurangi Subduction Margin (offshore New Zealand) date back to 1855 while indigenous knowledge points to older events for which there are no dates. The sparsity of historical records in New Zealand restricts our understanding of earthquakes and tsunamis over longer timescales. Using the geologic record, this study expands the history of past tsunamis over a 1,500-year interval, filling a significant knowledge gap in our understanding of seismic hazards along the Hikurangi Subduction Margin. My field site in Ahuriri Lagoon experienced a 7.6 magnitude earthquake in 1931 that devastated the city and caused the lagoon to become uplifted above the ground. In this study, two sediment cores were obtained from the uplifted lagoon and were investigated for high resolution grain size and geochronological information. The stratigraphy of the cores displays three distinct shell units that are interpreted to be tsunami deposits because of the abundance of allochthonous marine molluscs. Grain size data generated by this study provides supporting evidence for tsunami inundation while radiocarbon dating provides a recurrence interval of approximately 500 years for large tsunamis.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.129
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.314
Teacher spread0.266 · 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
Published2021
Admission routes1
Has abstractyes

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