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Record W2796383233 · doi:10.1017/s0022050718000050

Infant Health, Women's Fertility, and Rural Electrification in the United States, 1930–1960

2018· article· en· W2796383233 on OpenAlexaff
Joshua Lewis

Bibliographic record

VenueThe Journal of Economic History · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsFertilityRural electrificationElectrificationInfant mortalityElectricityRural areaTotal fertility rateRural populationSocioeconomicsGeographyDemographyEconomicsFamily planningEconomic growthPopulationMedicineDeveloping countryResearch methodologyEngineeringSociology

Abstract

fetched live from OpenAlex

From 1930 to 1960 rural communities, mainly in the U.S. South and Southwest, gained access to electricity. In addition to lights, the benefits included easier clothes washing, refrigeration, and pumped water. This article uses differences in the timing of electricity access across rural counties to study the effects on infant mortality and fertility. Rural electrification led to substantial reductions in infant mortality but had little effect on women's fertility. The increase in electricity access between 1930 and 1960 can account for 15 to 19 percent of the decline in rural infant mortality during this period.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0010.000

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 head0.014
GPT teacher head0.217
Teacher spread0.203 · 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

Citations55
Published2018
Admission routes1
Has abstractyes

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