The Role of Morbidity in the Mortality Decline of the Nineteenth Century: Evidence from the Military Population at Gibraltar 1818-1899
Bibliographic record
Abstract
The causes of the nineteenth-century decline of mortality, characterized by lower mortality rates and increased longevity, have been the subject of debate among researchers for the past half-century. Because of a paucity of reliable data, little is understood about the role of morbidity, or illness episodes, in the mortality decline. This article introduces the results of a study that looks at the relationship of morbidity in the mortality decline during this portion of the epidemiological transition. The data are comprised of hospital admissions and deaths collected by the British army on the soldiers of the Gibraltar garrison from 1819 to 1899. Morbidity dropped during this period, but at a slower rate than mortality, and all categories of disease did not fall in concert; in some categories, morbidity rose as mortality dropped. Statistical modeling is used to analyze the categories of diseases that were most influential in the decline of mortality in this group. This research shows that there are discernible relationships between morbidity and mortality and that the two parameters are responding to different driving forces. Because changes within the military medical system may have had an effect on the relationship of the morbidity and mortality rates of the soldiers, surviving medical reports are used to reconstruct the medical care of the troops during the study period.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".