What he may seem to the world: Isaac Newton's autograph book epigrams
Bibliographic record
Abstract
This paper identifies, describes and analyses Isaac Newton's known inscriptions in alba amicorum (autograph books). It begins with an introduction to the early modern autograph book and its social utility for travelling students. Each Newton inscription is contextualized with brief biographies of the individual album owners. The potential reasons for Newton's use of his chosen epigrams are considered, as are possible reflexive dynamics between him and the album owners that may have helped to inform these choices. An allied consideration is the degree to which Newton's epigrams relate to scholarly projects with which he was engaged when he penned them. A special feature is the identification of the owner of an album from which a Newton inscription was stolen more than half a century ago. This study offers a glimpse of Newton's intellectual reputation across several decades, both on the Continent and in his native England. More broadly, this paper makes contributions to our understanding of Newton's personal life and the strategic use of alba amicorum in the late seventeenth and early eighteenth centuries within the Republic of Letters.
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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 | 0.001 | 0.003 |
| 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 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".