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Record W3153796725 · doi:10.4006/0836-1398-34.1.6

Space‐time structure as a property derived from the operation of consciousness at the quantum-classical boundary

2021· article· en· W3153796725 on OpenAlexvenueno aff
Liang Shan

Bibliographic record

VenuePhysics Essays · 2021
Typearticle
Languageen
FieldPsychology
TopicParanormal Experiences and Beliefs
Canadian institutionsnot available
Fundersnot available
KeywordsConsciousnessProperty (philosophy)Theoretical physicsSpace (punctuation)EpistemologyPerceptionPhysicsBoundary (topology)QuantumCognitive sciencePhilosophyQuantum mechanicsPsychologyMathematics

Abstract

fetched live from OpenAlex

The space‐time is empirically perceived as a pre-existing property of the universe. However, a special kind of perception that takes place in near-death-experiences (NDEs) is challenging this idea. Here, I will illustrate how understanding of this particular state of consciousness (named the bodiless consciousness) helps us re-think the space‐time structure of the physical world. I first speculate that the bodiless consciousness perceives the physical world as nonlocal 4D. I then propose that the space‐time is a “derived” feature subsequent to the emergence of perception of the bodiless consciousness, rather than a pre-existing and unchangeable property. Next, I explain that the space structure only takes place in the classical (or macroscopic) world rather than in the quantum (or microscopic) world, due to its intrinsic imperceptibility to the bodiless consciousness. Without a presupposed structure of the space, the strangeness of the quantum world is expected. Then, I bring up the old measurement problem. I will argue that it is the bodiless consciousness that may entangle with the superposed state of an observed system and trigger the collapse. Finally, I will briefly discuss the potential relationship between electromagnetic wave and consciousness.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.998

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)0.0030.000

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 head0.019
GPT teacher head0.288
Teacher spread0.269 · 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.

Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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