Bibliographic record
Abstract
Prior to the time of Charles Darwin, there were many fine natural history studies that shed some light on the areas of population ecology and animal behaviour. Studies on population genetics were largely related to the breeding of domesticated animals and plants. Although considerable success had been made in breeding new varieties of many species, how the characteristics of organisms were inherited remained a mystery. Carl Linnaeus had developed the binomial classification system during the previous century and collectors were roaming the globe finding ever more species and plotting the distributions of many species. The astonishing variety of organisms was becoming more and more apparent. There had also been speculation about the evolution of organisms, in fact Charles Darwin's paternal grandfather, Erasmus Darwin, had written on the subject in his book Zoonomia , but undoubtedly the most famous theory on this subject was that of Jean Baptiste de Lamarck in 1801. However, these evolutionary ideas had little scientific credence at the time when Charles Darwin was receiving his education. So we may ask: what led Charles Darwin to conclude that organisms had evolved from a common ancestor? Charles Darwin: some important early influences (1809–31) Charles, born in 1809, was the fifth of six children of the physician Robert Darwin and his wife Susannah. When Susannah died in 1817 the household was ruled by the triumvirate of Charles' older sisters, whilst his father was a domineering presence who had little sympathy with the antics of a small boy.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| 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".