Review of: "Micro- and Macroevolution: A Continuum or Two Distinct Types of Change?"
Bibliographic record
Abstract
Potential competing interests: No potential competing interests to declare.This article thoroughly examines the relationship between microevolution and macroevolution, proposing a distinction between first-order evolution (microevolution) and second-order evolution (macroevolution) based on mathematical principles.The authors use a genotype-based approach to operationalize this distinction, aiming to replace the subjective phenotype-based analysis of evolution with a more objective method supported by DNA analysis technology.Through a computer simulation involving digital amoebas, the authors illustrate how populations undergo both first-order and second-order evolution in response to changing selection pressures.They discuss the implications of this distinction for understanding evolutionary novelty, particularly in terms of defining and explaining the origins of new traits and behaviors.Additionally, the article explores potential applications of this framework beyond biology, suggesting its relevance to understanding the adaptive dynamics of various systems, including physical, technical, and social systems.It concludes by highlighting directions for future research, such as further developing simulation models and investigating the role of genetic dimensions in evolutionary processes.How do biogeographic factors, such as dispersal, vicariance, and geographic isolation, influence the tempo and mode of evolutionary change within and between populations?How do historical biogeographic events shape the distribution of biodiversity and the assembly of biotic communities over geological time scales?One major point of contention revolves around the operationalization of the proposed distinction between first-order and second-order evolution.Critics argue that while the mathematical distinction is theoretically sound, its practical application to biological systems may be oversimplified.Evolutionary processes are highly complex, influenced by a multitude of factors beyond simple genotype changes, including environmental interactions, developmental constraints, and stochastic events.The reliance on a genotype-based approach may neglect crucial aspects of phenotypic plasticity and emergent properties that contribute to evolutionary dynamics.
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) | 0.002 | 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) | 0.008 | 0.001 |
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.
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".