Da Vinci’s Mental Code: Sacred Geometrics Identified within Psychology
Bibliographic record
Abstract
Objective: Based upon notions to a mental vision of the Vitruvian Man, to determine if any obvious asymmetries exist within Leonardo da Vinci’s timeless schematic—which is famous for its highly symmetrical presentation. Methods: A qualitative analysis performed upon a Vitruvian Man print (taken from the namesake Wikipedia article) to: closely examine if the man’s head is positioned to noticeably tilt toward either direction—left or right—of a dissecting line superimposed for equally splitting (vertically) the circle in the schematic; and, to closely examine the man’s eyes for any artistic asymmetry therein drawn. Results: The man’s head is determined tilting toward his right half/hemisphere of the circle. Also noticeable: the man’s right eye appears being of a much brighter look relative to a darkness observable about his left eye; and, an outline to an inverted equilateral triangle is identifiably shaded surrounding his left eye, whereas a more contrastingly circular shape appears as so shaded around his right eye. Discussion: Once a certain awareness is drawn to such artistic anomalies, they can become so clearly observable that one may wonder if Leonardo da Vinci did as much intentionally. And if so, then why? This paper details a hypothesis necessarily built upon the assumption that Leonardo intentionally embedded such cues within his Vitruvian Man whereby speculations toward a hemispheric brain theory can be established of such cryptic nature, given a then-pronouncedly authoritarian Catholic Church, whereupon he may have figured it possible to receive credit posthumously if ever such notions were proven valid. Incidentally, the concerning analysis as to why the Vitruvian Man’s head tilts in such a fashion aligns with Dr. Iain McGilchrist’s peer-reviewed findings to a hemispheric hypothesis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.032 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".