The development of code systems during eukaryogenesis and the rise of multicellularity
Bibliographic record
Abstract
The expansion of the set of biological codes associated with the appearance and complexification of eukaryotic cells (eukaryogenesis) and the evolution of multicellularity is based on the development of higher codes operating over the genetic system. In the course of evolution, the perception-action functional cycles described by Jakob von Uexküll become complemented by the secondary meta-cycles, which perceive the work of the primary cycles, and finally by tertiary cycles of meta-reflexivity, which perceive and evaluate the previous activity of the secondary functional cycles and generate a new field of meanings associated with conscious experience. The development of secondary and tertiary cycles forms the basis of higher-level codes operating over the genetic system and resulting in the evolutionary separation between unikonts and bikonts, in the divergence between protostomes and deuterostomes, in all events of cellular differentiation manifested as differentiation trees, and finally in the appearance of consciousness. The expansion of codes associated with the rise of eukaryotic organelles and with the cytoskeleton rearrangements in the ontogenesis of multicellular organisms determines the course of the evolutionary process toward complexification. The internally controlled recombination process, in particular, in the course of meiotic cell division and ontogenetic differentiation, becomes the driving factor of progressive evolution. It corresponds to the growing role of the epigenome and epigenetic regulation in the complexification of biological organization. It is concluded that the evolutionary process unfolds as a propagating non-deducible construction following the generation of functional redundancy, which is achieved through gene duplication, symbiosis, and cell-cell interactions, and becomes an important precondition for the appearance of new evolutionary acquisitions.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".