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Record W2353204693

Exceed Speed Rotation of the Earth′s Inner Core in the Course of Non-uniform Expansion for the Inner Core and Mantle Inertia

2011· article· en· W2353204693 on OpenAlexaff
Lixin Yuan

Bibliographic record

VenueJilin Normal University Journal · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysics and Gravity Measurements
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsInner coreMantle (geology)Core–mantle boundaryOuter coreStructure of the EarthEarth's rotationGeophysicsGeologyPhysicsMechanicsGeodesy
DOInot available

Abstract

fetched live from OpenAlex

In the process of the Earth′s expansion as gravitational constant decrease,the density structure of inner core and mantle is two evident different the area,it is clearly that inertia increase of the inner core and the mantle is not synchronization with the state of ideal inertia expansion.In the process of the Earth′s expansion from 5 329 km to 6 371 km,calculate obvious of the earth′s radius with practical earth′s the density structure,the change of inner core inertia and radius is about the same,but the radius increase of mantle is rapid.Known by the rotational energy conservation,the rotation of inner core will get into exceed speed for relative rotational speed of mantle.Because kinetic energy release of inner core rotation energy for the core-mantle boundary,the molten state of the core-mantle boundary is further kept and has achieved progressively rotational synchronism of core-mantle.At paper,having deducted to the relation between the Earth′s density structure and the evolution.having analyzed to abnormal segments of geophysical press and quality in the process of calculation.and having discussed abnormal reasons and influence for the Earth′s structure and operation.This article has established a mechanism on exceed speed rotation of inner core with non-uniform expansion of inner core and mantle.

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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.211
Teacher spread0.171 · 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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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