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Record W2059058085 · doi:10.1080/00324728.2011.571385

Mortality in late nineteenth-century Montreal: Geographic pathways of contagion

2011· article· en· W2059058085 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePopulation Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsMcGill UniversityConcordia University
Fundersnot available
KeywordsEthnic groupPovertyNeighbourhood (mathematics)DemographyGeographyLogistic regressionEpidemiologySocioeconomic statusSociologyEconomic growthMedicineAnthropologyEconomicsPopulation

Abstract

fetched live from OpenAlex

In the City of Montreal, 1881, the presence of three cultural communities with different profiles of economic status makes it possible to observe the way social settings affected survival over a lifetime. Regression models show culturally determined maternal factors dominant for infants, and persistent throughout childhood. For post-neonates, children aged 1-4, and adults aged 15-59 household poverty has a comparable effect. Among adults, a gender penalty differs among the three communities. Models are improved when differentiated by cause of death. Locating households using a GIS reveals high levels of residential segregation by ethnicity and income, spatial correlation of environmental hazards, and constraints on exit from zones of risk, which together produce neighbourhood effects as large as household effects. Attention to groups excluded (foundlings and inmates of institutions) confirms that models limited to full household-level information significantly underestimate the impacts of poverty and exclusion.

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)0.001
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 score0.042
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.156
GPT teacher head0.344
Teacher spread0.188 · 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