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Record W7106811357 · doi:10.5281/zenodo.17725675

A Geobioelectromagnetic Theory of Psychological Time: Planetary-scale Coherence Fields and the Reversal of the Subjective Temporal Arrow

2025· preprint· W7106811357 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typepreprint
Language
FieldPsychology
TopicParanormal Experiences and Beliefs
Canadian institutionsnot available
Fundersnot available
KeywordsCoherence (philosophical gambling strategy)Arrow of timeAnalogyEntropy (arrow of time)ArrowCognition

Abstract

fetched live from OpenAlex

This theoretical manuscript presents a novel, synthetic model explaining themalleability of the human psychological arrow of time. We propose that specific geologicalformations, such as the ancient rock of Newfoundland and the vast, thrustingpeaks of the Himalayas, generate powerful, localized electromagnetic anomalieswhich act as distinct coherence fields. We theorize that humans, as carbon-basedopen systems, can interact with these fields, leading to a phase transition in cognitivestructure. This transition is modeled through a synthesis of concepts: thethermodynamics of entropy (Boltzmann’s S = k logW), the logical states of information(Belnap-Dunn logic), and a phase diagram analogy based on carbonallotropes and steel metallurgy. The model posits that immersion in a planetarycoherence field can reduce cognitive entropy (ΔS < 0), resulting in a measurableslowing or subjective reversal of psychological time, experienced as healing and rejuvenation.This framework provides a testable, biophysical basis for the reputedeffects of sacred sites and outlines a potential new field of geotherapeutic intervention.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.613
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0030.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0240.000

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 head0.024
GPT teacher head0.276
Teacher spread0.252 · 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 designNot applicable
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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