Bibliographic record
Abstract
This article addresses the family and intellectual relationship between Charles Darwin and his grandfather Dr Erasmus Darwin. After establishing the publishing history of Charles’s ‘sketch’ of his grandfather’s life, the article shows how Charles approaches his subject by a characteristic biological route: the inheritance of family characteristics. His examination of Erasmus’s life and work establishes inherited talents, especially that for poetry. The biography’s sub-text is to hint at what Charles himself inherited from his grandfather, especially an interest in natural history. However, Charles throughout his earlier life had been very reticent about any impact Erasmus’s writings on biology might have had on his own work. The reticence persists in this sketch and Charles’s focus shifts to Erasmus’s reputation as a poet, and to certain well-known ‘calumnies’ of Erasmus’s character. Charles’s discussion of the poetry reveals as much about himself as it does of Erasmus and the paper concludes with an analysis of Charles’s own poetic taste and literary-critical judgments. The article presents evidence for Charles himself being a highly cultivated reader of poetry and a defender of his grandfather’s reputation as a poet.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".