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Record W2104607128 · doi:10.1306/040504740760

Strain Signatures of Fjord Sediment Sliding: Micro-Scale Examples from Yakutat Bay and Glacier Bay, Alaska, U.S.A.

2004· article· en· W2104607128 on OpenAlexaff
John F. Hiemstra, Kamil Zaniewski, Ross D. Powell, Ellen A. Cowan

Bibliographic record

VenueJournal of Sedimentary Research · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsBrandon University
FundersOffice of Polar Programs
KeywordsBayFjordGeologyGlacierOceanographySedimentScale (ratio)Bay mudGeomorphologyGeographyCartography

Abstract

fetched live from OpenAlex

Abstract Samples of gravity cores recovered from Yakutat Bay and Glacier Bay in southeast Alaska were examined in thin section. The samples, representing rhythmically laminated plume deposits, current-derived silts and sands, and iceberg-rafted diamicts, exhibit microstructures indicative of vertical deformation such as loading and water escape, as well as boudinage and other features, which are indicative of simple shear deformation. Narrow zones in many of the fine-grained core intervals show subtle patterns of preferred clay-mineral orientations (plasmic fabrics). We interpret these intervals as being low-strain simple shear zones. They all show a consistent and regular internal configuration that is formed by sets of conjugate shear planes. The setting and conditions in the Alaskan fjords allow the assumption that the shear zones are exclusively associated with penecontemporaneous movements of the unconsolidated sediment on subaqueous slopes. Analyzing characteristics and trends relating to symmetry and strain intensity, we argue that these are diagnostic identifiers for sliding mass movements. We present a conceptual model in which deformation resulting from gravity-driven sliding is described. We suggest that strain signatures can be used to recognize types of shear zones and be helpful in distinguishing between, for example, gravity-driven deformation and subglacial deformation in sedimentary records.

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)0.003
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 score0.025
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.042
GPT teacher head0.301
Teacher spread0.259 · 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

Citations19
Published2004
Admission routes1
Has abstractyes

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