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<i>Metamorphosis</i> From Birth to Medical School

2001· book-chapter· en· W4388285496 on OpenAlexaboutno aff
Nicholas W. Gillham

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicLiterature Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsBrotherSisterGalton's problemMidnightErasmus+GenealogyQuarter (Canadian coin)ArtArt historyPsychologyHistorySociologyMathematics

Abstract

fetched live from OpenAlex

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0630.012

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.

Opus teacher head0.012
GPT teacher head0.254
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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