Famine and the female mortality advantage: sex, gender and mortality in northwest England, c. 1590–1630
Bibliographic record
Abstract
ABSTRACT Studies of modern famines have found disproportionately high mortality amongst adult men. The most commonly suggested root of this ‘female mortality advantage’ is biological, and it seems to be strongest when starvation is the main cause of death. The present study is the first to investigate the phenomenon in an early-modern society. Looking at the famines of 1597 and 1623 in northwest England, it finds some evidence for a female mortality advantage in 1623, but that this was concentrated in the first 12 months of the crisis (after the 1622 harvest). The female advantage was also much greater in north Lancashire and Westmorland than it was in the wealthier western Lancashire plain. Together this supports the idea that there was actual starvation during the 1623 crisis, at least in these areas at these times. There are, however, some reasons to suppose that the most mortal phase of the crisis, around the winter of 1623–1624, took place at a time when food was becoming more widely available, and hence should be attributed to diseases that followed the famine.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".