A niche construction-based perspective on chemical evolution before replication and reproduction
Bibliographic record
Abstract
Abstract Conceptual analysis has, in the past decades, established that evolution by natural selection (ENS) can occur without reproduction (1–6). This theoretical advancement has significant imports for research on the origins of life that have yet to be explored. In this paper, we introduce and defend a niche construction-based account of evolution by natural selection without reproduction (ENSwR, pronounced like “answer”), which leads to three insights regarding Darwinian evolution at the origins of life. First, we show through ENSwR the plausibility of Darwinian evolution in the prebiotic world; second, ENSwR provides a novel explanatory framework that supports origins of life theories in which autocatalytic sets of chemical reactions play a central role; third, we argue that inorganic catalytic molecules (rather than autocatalytic sets (7–9)) are relevant units of selection to understand the origins of life prior to reproduction and replication. This third argument is especially important for the field, as it helps bridge the gap between chemical and biological evolution (10).
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".