Mathematicians and the early English life insurance industry
Why this work is in the frame
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Bibliographic record
Abstract
Motivated by a manuscript find in the Macclesfield Collection held by Cambridge University Library, the role of mathematicians in the emerging life insurance industry in eighteenth-century England is examined. Two early life insurance societies are examined here in detail. In one, a prominent mathematician's arguments were ignored thus confirming the generally accepted view among historians of insurance that the role of mathematicians at this time was minor or non-existent. For the other case, the promoter of two insurance schemes used his mathematical knowledge to design the operation of his insurance plans thus showing that mathematical activity was at least not non-existent. The manuscript find still leaves the question of what the motivation and impact was of the major writers on life annuities during the first half of the eighteenth century. This is addressed by considering the major economic background of early eighteenth-century England—land and property.
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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 | 0.008 | 0.028 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it