Bibliographic record
Abstract
In a recent issue of International Journal of Epidemiology, Kuzawa stated that Darwin lacked an understanding of the material basis of heredity, and his Pangenesis had fatal flaws.1 It is likely that this viewpoint is not supported by recent evidence. Darwin regarded his The Origin of Species as an ‘abstract’—an incomplete explanation of his theory of evolution. He knew that all his conclusions would remain incomplete until the essential foundation stones of inheritance and variation were located. In 1868, he published The Variation of Animals and Plants under Domestication. It is in this two-volume work that Darwin came nearest to the subject of genetics. Of the work’s 28 chapters, the first 10 consist of a veritable catalogue of variations. In the 11th chapter, Darwin examined four unusual forms of trait production: bud variations (mutation), graft hybrids and the direct actions of the male element on the female (later called xenia and telegony). Next three long chapters, 12–14, are entitled ‘inheritance’. Chapters 15–19 handled hybridism. Chapters 20 and 21 consisted of detours into the mechanism of artificial and natural selection, whereas chapters 22–26 focused on the ‘laws of variation’.2 Darwin clearly described almost all genetic phenomena of fundamental importance.
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 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 | 0.009 | 0.067 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.064 | 0.070 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".