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AS FOLLOWS FROM OUR MODEL THE NORTH MAGNETIC POLE IS STABLE IN ITS DRIFT

2019· article· ru· W4206345490 on OpenAlexaboutno aff
Vladimir V. Kuznetsov

Bibliographic record

VenueВестник КРАУНЦ Физико-математические науки · 2019
Typearticle
Languageru
FieldBiochemistry, Genetics and Molecular Biology
TopicGeomagnetism and Paleomagnetism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEarth's magnetic fieldBayNorthern HemisphereGeodesyNorth poleMagnetic fieldCapeGeologyPoint (geometry)PhysicsClimatologyGeographyOceanographyMathematicsPhysical geographyGeometry

Abstract

fetched live from OpenAlex

Северный магнитный полюс движется согласно модели дрейфа, предложенной канадским магнитологом Хоупом 1 и разработанной автором этой статьи 2, 3. В основе модели участие двух глобальных магнитных аномалий (ГМА): Канадской (КМА) и Сибирской (СМА). Вблизи этих ГМА расположены магнитные обсерватории: РезольютБей (RB Resolute Bay) в Канаде и Мыс Челюскин (CCh Cape Chelyskin) в России. Обсерватории регистрируют изменения величин Нкомпонент модуля геомагнитного поля (ГМП), причем в настоящее время в Канадском секторе регистрируется увеличение модуля ГМП, а в Сибирском, его уменьшение. Точка, в которой направленные навстречу векторы Нкомпонент равны друг другу, а Нкомпонента равна нулю, и есть СМП. Скорость дрейфа СМП определяется скоростью увеличения (или уменьшения) величин соответствующих ГМА. Использование этой простейшей схемы позволило автору давать очень точные прогнозы мест расположения СМП. Точно так же было определено время перехода СМП из Западного полушария в Восточное (лето 2019). Точность методики определяется исключительно точностью аппроксимации величины Нкомпонент 24. The North Magnetic Pole submits its moving to the drift model proposed by Canadian magnitologist Hope 5 and this developed by the author 6,7 which suggests an impact of two global magnetic anomalies (GMA), Canadian (CMA) and Siberian (SMA) into the pole drift. Magnetic observatories Resolute Bay, Canada, and Cape Chelyskin, Russia, located near these GMA, are recording the Hcomponent values. Nowadays increasing at the Canada area the geomagnetic field module is decreasing at the Siberia one. The NMP is the point where the vectors of Hcomponent directed towards each other are equal and the value of Hcomponent makes zero. The velocity of the NMP drift is determined by the fluctuating rate of GMA magnitudes. This technique enabled the author to predict as the NMP positions and the time of the NMP transit from the West hemisphere to the East one as 2019, summer. The technique accuracy is governed by accuracy of Hcomponent values approximation 6, 7, 13.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.004

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 head0.009
GPT teacher head0.221
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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".

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Citations1
Published2019
Admission routes1
Has abstractyes

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