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Record W2169863689 · doi:10.14704/nq.2010.8.4.302

Experimental Elicitation of an Out of Body Experience and Concomitant Cross-Hemispheric Electroencephalographic Coherence

2010· article· en· W2169863689 on OpenAlexaff
Michael A. Persinger, Kevin S. Saroka, Bryce P. Mulligan, Todd Murphy

Bibliographic record

VenueNeuroQuantology · 2010
Typearticle
Languageen
FieldPsychology
TopicParanormal Experiences and Beliefs
Canadian institutionsLaurentian University
Fundersnot available
KeywordsCoherence (philosophical gambling strategy)PsychologyElectroencephalographyCognitive psychologyCognitive scienceNeurosciencePhysics

Abstract

fetched live from OpenAlex

Brief exposure to a counterclockwise global externally applied magnetic field generated from an array of 64 solenoids designed to affect the cerebral fields associated with the left and right hemispheric correlates of evoked a powerful out of body experience (OOBE) in a single naive subject. The energy available from the applied field within the cortical volume was within the same order of magnitude as that associated with the sum of action potentials in all cortical neurons. During the OOBE there was a marked generalized increase in coherence in quantitative electroencephalographic activity between the left temporal lobe and right prefrontal region with specific abnormally high increases within the 4 to 7 Hz and 15 to 21 Hz band. These results are congruent with the experience of consciousness detached from the body and moving through space. The diagonal congruence is more consistent with the existence of two quantized fields or a global field with opposing polarities whose vector determines various emergent states experienced as OOBEs or sensed presences during brief periods of perturbation.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.375
Teacher spread0.352 · 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 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

Citations11
Published2010
Admission routes1
Has abstractyes

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