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Record W1933630666 · doi:10.25336/p6dw46

An exploration of the effects of pandemic influenza on infant mortality in Toronto, 1917–1921

2013· article· en· W1933630666 on OpenAlexafffundvenueabout
Stacey Hallman

Bibliographic record

VenueCanadian Studies in Population · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of CanadaMcMaster UniversityUniversity of Missouri
KeywordsInfluenza pandemicPandemicDemographyInfant mortalityMortality rateExcess mortalityGeographyMedicineEnvironmental healthCoronavirus disease 2019 (COVID-19)PopulationInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

This study investigates infant mortality from pandemic influenza in Toronto, Canada, from September to December 1918, through theRegistered Death Records of the Province of Ontario. A comparison of infant deaths in 1918 to surrounding years (1917–21) revealedthat although mortality rates remained relatively stable, there were changes in the mortality profile during the epidemic. Deaths frominfluenza did increase slightly, and the epidemic altered the expected sex ratio of infant deaths. Although communities may be greatly strained by an influenza epidemic, the infant mortality rate may be more representative of long-term social and environmental conditions rather than acute, intensive crises.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.135
GPT teacher head0.395
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2013
Admission routes4
Has abstractyes

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