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Record W7106839422 · doi:10.5281/zenodo.17718469

Electro-Archaeology: Atmospheric Electrostatic Interaction With Historical Architecture

2025· preprint· en· W7106839422 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicBuilding materials and conservation
Canadian institutionsSaint John Regional Hospital
Fundersnot available
KeywordsArchitectureDocumentationField (mathematics)Work (physics)Architectural modelArchitectural geometry

Abstract

fetched live from OpenAlex

Abstract:This paper introduces Electro-Archaeology as a new scientific framework for investigating how historical architecture interacts with atmospheric electrical fields. It synthesizes atmospheric electrostatics, architectural geometry, and historical documentation to demonstrate how spires, domes, towers, finials, and other tall architectural features can naturally accumulate and concentrate charge from the Earth’s vertical potential gradient. Drawing on contemporary findings—including the 2022 Nature Scientific Reports demonstration that low-energy static electric fields can induce visible luminescence in minerals and air—this work argues that luminous architectural phenomena described in historical illustrations were physically real and scientifically reproducible. This white paper outlines the atmospheric electrical environment, identifies architectural geometries optimized for field concentration, explains the mechanisms of corona discharge and ion-induced luminescence, and proposes a structured framework for experimental replication. It serves as the foundational document of the emerging discipline of Electro-Archaeology.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.993

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.211
Teacher spread0.193 · 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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