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Record W3036963632 · doi:10.4006/0836-1398-33.2.219

The influence of gravitational field on time

2020· article· en· W3036963632 on OpenAlexvenueno aff
Yan Yi

Bibliographic record

VenuePhysics Essays · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRelativity and Gravitational Theory
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsBasis (linear algebra)Limit (mathematics)Gravitational fieldTheoretical physicsSpace (punctuation)SpacetimeField (mathematics)GravitationSpace timeClassical mechanicsStatistical physicsComputer scienceMathematical analysisMathematicsGeometryQuantum mechanicsPure mathematics

Abstract

fetched live from OpenAlex

Existing theories cannot reasonably explain some astronomical phenomena now observed. Therefore, it is necessary to consider the possible limitations of existing theories. First, eight important defects of the existing theories are analyzed in this paper. These eight important defects prove that there are serious errors in the space-time view of the existing macro-physical theories, and it is necessary to rethink the space-time relationship. Then the philosophical basis of reference system is discussed, and a new reference system is constructed. Then, based on the new reference system and the space-time relationship, the approximation limit of time and space at infinite distance from the source of gravitational field is reconstructed, and the relationship between gravitational field and space-time is reconstructed according to this limit. Then the relationships between the new theory and the existing theories are discussed, and the conclusions are consistent with the limitations of the existing theories discussed above. Finally, the new theory is used to explain the above phenomena which cannot be explained by the existing theories.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.008
Scholarly communication0.0020.005
Open science0.0000.001
Research integrity0.0010.001
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 head0.011
GPT teacher head0.245
Teacher spread0.234 · 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 designTheoretical or conceptual
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

Citations2
Published2020
Admission routes1
Has abstractyes

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