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Record W2062516680 · doi:10.2466/pms.2002.94.1.26

Geophysical Variables and Behavior: XCVII. Increased Proportions of the Left-Sided Sense of Presence Induced Experimentally by Right Hemispheric Application of Specific (Frequency-Modulated) Complex Magnetic Fields

2002· article· en· W2062516680 on OpenAlexaff
S. G. Tiller, Michael A. Persinger

Bibliographic record

VenuePerceptual and Motor Skills · 2002
Typearticle
Languageen
FieldNeuroscience
TopicHemispheric Asymmetry in Neuroscience
Canadian institutionsLaurentian University
Fundersnot available
KeywordsLateralization of brain functionLeft and rightRight hemisphereStimulus (psychology)AudiologyPsychologyRight-to-leftMagnetic fieldRight handedNuclear magnetic resonancePhysicsNeuroscienceCognitive psychologyMedicineComputer science

Abstract

fetched live from OpenAlex

12 young men and women who were not aware of the stimulus order were exposed to 8 configurations of weak 1 microTesla) magnetic fields for 5 min. each, applied primarily over the right parietotemporal region. The numbers of sensed presences along the left side, right side, or front/back, as inferred by button presses at the time of the experience, were recorded. There were significantly (eta2= .37) more experiences along the left side than the right side during the presentations of a frequency-modulated (Thomas) pattern with 3-msec. point durations compared to the presentation of its temporally reversed structure or to patterns that were more or less complex. 40% of all left-sided presences occurred during the 5-min. presentation of this specific frequency-modulated pattern. These results suggest that the subjective lateralization of a sensed presence to the left during right hemispheric stimulation by weak magnetic fields is enhanced by the specific temporal structure of the applied field.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.762

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.241
Teacher spread0.223 · 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 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

Citations6
Published2002
Admission routes1
Has abstractyes

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