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Record W2156059829 · doi:10.1093/jhmas/jrm026

In-Migration and Diphtheria Mortality among Children in the Sundsvall Region during the Epidemics of the 1880s

2007· article· en· W2156059829 on OpenAlexaff
Stephan Curtis

Bibliographic record

VenueJournal of the History of Medicine and Allied Sciences · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiphtheria, Corynebacterium, and Tetanus
Canadian institutionsMemorial University of Newfoundland
FundersWellcome Trust
KeywordsDiphtheriaPopulationDemographyGeographySocioeconomicsMortality rateRural areaMedicineSociologyVaccinationVirology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.262
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the History of Medicine and Allied SciencesSame topicDiphtheria, Corynebacterium, and TetanusFrench-language works237,207