In-Migration and Diphtheria Mortality among Children in the Sundsvall Region during the Epidemics of the 1880s
Bibliographic record
Abstract
While many works have examined urban mortality rates in nineteenth-century Europe, much less attention has been placed on disease patterns in the peripheral areas surrounding these population centers. This study demonstrates that during the Swedish diphtheria epidemic of the early 1880s, mortality rates among children living in the industrial parishes on the outskirts of the town of Sundsvall exceeded those found in the town itself. The epidemic was fueled by the mass in-migration of laborers and their families from distant provinces who sought work in the region's sawmills. Thus, in contrast to the common pattern of disease entering through a port city and spreading into the interior, in this case diphtheria followed the paths of migrants through the rural parishes of the Sundsvall region to the sawmills and then finally into the town itself. This spatial pattern was reversed in the late fall when migrants returned home. Conflicts within the medical profession regarding how best to prevent or contain diphtheria, popular suspicion and distrust of local physicians, and the introduction of the disease into a population with no prior contact with it, all helped increase the number of young corpses.
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 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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".