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Record W2116335138 · doi:10.1017/s0268416010000263

The infant mortality conundrum in Uruguay during the first half of the twentieth century: an analysis according to causes of death

2010· article· en· W2116335138 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueContinuity and Change · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Medicine and Tropical Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInfant mortalityPoliticsDevelopment economicsWelfare stateWelfareMortality rateChild mortalityPolitical scienceDemographyEconomic growthEconomicsDeveloping countrySociologyLaw

Abstract

fetched live from OpenAlex

Around 1900 infant mortality rates (IMR) in Uruguay were among the world's lowest. By 1910, however, the IMR began a decades-long stagnation, while other countries experienced ongoing improvements. This article examines the conundrum of Uruguay's infant mortality stagnation, highlighting the leading causes of death – diarrhoeal and respiratory diseases – and their relation to social, economic and political conditions. Drawing on an array of demographic, medical eyewitness and social sources, we explore why, despite Uruguay's precocious social welfare investments, its IMR stagnated and what enabled its eventual decline circa 1940. We conclude that a confluence of public health, medical and social factors enabled disease-specific improvements, but only after political pressure for large-scale redistribution of wealth was translated into extensive welfare state measures.

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.

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)0.000
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 score0.579
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.042
GPT teacher head0.278
Teacher spread0.236 · 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