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Record W7117461831 · doi:10.4006/0836-1398-38.4.353

Entanglement driven forces and galactic structure stability

2025· article· en· W7117461831 on OpenAlexvenueno aff
Joseph Shaffer

Bibliographic record

VenuePhysics Essays · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRelativity and Gravitational Theory
Canadian institutionsnot available
Fundersnot available
KeywordsQuantum entanglementDark matterGalaxyGravitationGalaxy rotation curveRotation (mathematics)QuantumQuantum decoherence

Abstract

fetched live from OpenAlex

Some fifty years ago, it was noted that the rotation speeds of galaxies were too great for the gravitational force of all the available galactic mass to balance it. People therefore invented the idea of dark matter in the form of weakly interacting massive particles (WIMPs) to supply the missing mass. In spite of heroic efforts, such particles have not been found. If WIMPs do not exist, then the problem is not missing mass. It is missing force. This paper proposes that entanglement driven forces act as a fundamental component of cosmic structure stability. Conventional physics assumes forces propagate at finite speeds, but we will assume otherwise. We postulate that entangled objects share a unified quantum state that allows instant interaction beyond classical constraints. This mechanism may account for anomalies in galactic rotation and explain synchronization of cosmic structures. A series of observational tests are outlined to verify this by offering alternative explanations for the missing mass phenomenon and synchronization in galaxy motion. An Addendum is included with supporting calculations that verify the postulate.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.355

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 head0.010
GPT teacher head0.259
Teacher spread0.250 · 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 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
Published2025
Admission routes1
Has abstractyes

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