Bibliographic record
Abstract
Abstract The children spent the day at grandfather Galton’s mansion, Duddeston, now and then dashing into the library to clamber onto a chair near the speaking tube to shout down to the servants in the pantry,“Mama had a baby and it was a Boy!” Little Frank, as his family called him, was born around 9 P.M. on February r6, 1822. His sister Adele later wrote her brother that their mother “had been taken ill at eight o’clock.”3 Dr. Joseph Hodgson was called and Adele was awoken by Dr. Hodgson around midnight to learn that she had a little brother. She fell back to sleep to find the next morning that he was “such a red little thing.”4 Francis was the last of Tertius and Violetta Galton’s nine children (Table 2-r), two of whom died in infancy.5 His brothers Erasmus and Darwin were six and eight years older while the youngest of his four sisters, Emma, was n years his senior. Like Emma, the other girls, Adele, Lucy, and Elizabeth, were crazy about him. Emma recalled that he “was the pet of us all, and my mother was obliged to hang up her watch, that each sister might nurse the child for a quarter of an hour and then give him up to the next.”6 Galton’s nursery was in Adele’s room. Delly, a frail creature with a spinal curvature that frequently forced her to lie on her back on a board, saw to his early education.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.307 | 0.006 |
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; both teacher heads agree on what is shown here.
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".