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Record W7106327915 · doi:10.5281/zenodo.17678750

THE FRACTAL CODEX

2025· book· en· W7106327915 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typebook
Languageen
FieldComputer Science
TopicChaos, Complexity, and Education
Canadian institutionsFractal Systems (Canada)
Fundersnot available
KeywordsFractalIdentity (music)Transition (genetics)Experiential learningFigure–ground

Abstract

fetched live from OpenAlex

THE FRACTAL CODEX is a conceptual and experiential map of pattern, identity, time, emotion, and connection. Rather than presenting a technical treatise, it follows the lived geometry of experience: how patterns repeat across scales, how identity stacks as layered versions of self, how memory behaves like a field, how emotions follow consistent shapes, and how groups, spaces, and relationships form their own shared structures. Across short, tightly written chapters, the book treats things like attention, rhythm, stability, pressure, stillness, and transition as structural phenomena instead of personal flaws or virtues. Each chapter zooms in on one “facet” of the pattern—individual behavior, relationships, collective dynamics, the unseen layers beneath awareness—showing how the same underlying geometry keeps reappearing at different scales. The Codex is meant as a foundational text for the broader Fractal Youniverse Framework: a way of seeing human experience as nested, recursive, and coherent rather than random or broken. It can be read as philosophy, as a lens for therapy and self-understanding, or as a pattern language for systems thinkers and creators.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.232
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0030.000
Open science0.0040.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.008

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 head0.042
GPT teacher head0.257
Teacher spread0.216 · 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; both teacher heads agree on what is shown here.

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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