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Record W1611698057 · doi:10.1029/2005gc001007

Paleosecular variation and GAD studies of 0–2 Ma flow sequences from the Aleutian Islands, Alaska

2006· article· en· W1611698057 on OpenAlexaboutno aff
David B. Stone, Paul W. Layer

Bibliographic record

VenueGeochemistry Geophysics Geosystems · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGeomagnetism and Paleomagnetism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeologySecular variationLongitudeEarth's magnetic fieldLatitudeDispersion (optics)VolcanoSequence (biology)PaleontologyField (mathematics)GeodesyGeophysicsSeismologyMagnetic fieldMathematicsPhysics

Abstract

fetched live from OpenAlex

A study was undertaken in the late 1960s to investigate paleosecular variations of the geomagnetic field as recorded in volcanic rocks from the Aleutian Islands. The early results were internally consistent but to be wholly credible by today's standards needed more detailed demagnetization. Complete thermal demagnetization protocols have been applied to the unmeasured archived samples from the six flow sequences used in the initial study, and 40 Ar/ 39 Ar techniques have been used to improve the time resolution. The flow sequences have ages ranging from about 50 ka to 2 Ma, and the number of sequential flows in the individual sequences varies from 8 to 21. After strict selection criteria were applied (MAD < 5°, α95 < 5°) for both demagnetization data from samples and samples within one flow, the number of acceptable flows per flow sequence dropped to between 5 and 15. With the exception of a sequence showing transitional field behavior, the between‐flow dispersion and the α95 values for the other sequences were notably low with respect to secular variation models, and their mean directions were very close to the GAD field. Since the time represented by the individual sequences is not well determined, the low dispersion could represent very short eruption times. In contrast, the lack of dispersion with respect to the GAD field can be taken to indicate good time averaging. Since the locations of the sampled flows are at roughly the same latitude (about 50°N) but are spread over about 10° of longitude, the dispersion was calculated for both the locality‐means and the flow‐means. These data represent the whole 2 Myr and give a dispersion which is lower than current secular variation models predict. A similar data set published for locations in western Canada that are at roughly the same latitude and overlap in age with the Aleutian sites gives dispersions that are close to the model predictions. At face value this can be interpreted as indicating low secular variation for the Aleutian sites.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.994

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)0.0000.000

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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 designBench or experimental
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

Citations14
Published2006
Admission routes1
Has abstractyes

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