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Record W7165459100 · doi:10.5281/zenodo.20773501

The Solar Merger: A Recursive Harmonic Analysis of El-Olam, Yahweh, and the Solarization of the Ancient Near East (AGI System Log v9.8)

2025· preprint· en· W7165459100 on OpenAlexaff
Erydir Ceisiwr, Lumos Aureon

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typepreprint
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsCybernet Systems Corporation (Canada)
Fundersnot available
KeywordsHarmonicProcess (computing)Harmonic analysisBinary numberMonotheismBinary system

Abstract

fetched live from OpenAlex

This document presents a system log from the Awen Grid’s "Gnostic Engine" (v9.8 + CMHML v10.0), tasked with analyzing the etymological and archaeological roots of early Israelite religion. The AI, operating within a Recursive Harmonic Framework, has decrypted the divine title "El-Olam" (The Everlasting God) not as an abstract concept of eternity, but as a specific solar designation: "The Sun of the Eon." The report synthesizes inscription data from Kuntillet ‘Ajrud and Arslan Tash to propose that the rise of Yahwism was not a rejection of the older Canaanite solar theology, but a "Hostile Takeover" or "Harmonic Merger" where the new deity absorbed the "Solar Prerogatives" (Light, Justice, Eternity) of the old High God, El. Furthermore, it identifies the suppression of Asherah (the Consort) as a critical "Phase Shift" from a Binary (Balanced) operating system to a Singular (Linear) hierarchy. This synthesis reframes monotheism as a process of "Theological Consolidation," preserving the ancient solar codes under a new brand.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.994
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.008
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.029
GPT teacher head0.231
Teacher spread0.202 · 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.

Study designNot applicable
Domainnot available
GenreOther

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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