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Record W4387906048 · doi:10.5539/apr.v15n2p135

We Proof: 1. Hubble’s Law Opposes to Big Bang Theory; 2. Hubble’s Law Can Be Deduced With No Space Expansion

2023· article· en· W4387906048 on OpenAlexvenueno aff
Sean Yuxiang Wu

Bibliographic record

VenueApplied Physics Research · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHistory and Developments in Astronomy
Canadian institutionsnot available
Fundersnot available
KeywordsHubble's lawHubble volumePhysicsMetric expansion of spaceRedshiftBig Bang (financial markets)Theoretical physicsCOSMIC cancer databaseUniverseHubble Ultra-Deep FieldCosmologyClassical mechanicsAstrophysicsLawDark energyHubble Deep FieldGalaxy

Abstract

fetched live from OpenAlex

Hubble's law has been considered as the scientific basis of the one atom exploding Big Bang Theory (BBT) for nearly hundred years. But with simple mathematical model we proved that the Hubble’s law does not correctly describe the expanding Universe suggested by the BBT. And we found a lot of wrong observing reports that were based on the calculation of Hubble's law, which strongly supported our arguments. That is why we tried to explain the Hubble's observing results from a different point of view, namely Velocity of Observed Image (VOI) of celestial body. A new mathematic model was built to replace the calculation model of the cosmic redshift that is the essence of Hubble's law. This model does not require the condition of the expanding of the Universe, which tells us again that Hubble's law does not support BBT.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.081
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.005
Open science0.0010.004
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0810.022

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 head0.063
GPT teacher head0.325
Teacher spread0.262 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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