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Record W2087627444 · doi:10.1080/19485565.2000.9989015

Canadian Indian mortality during the 1980s

2000· article· en· W2087627444 on OpenAlexaffabout
Frank Trovato

Bibliographic record

VenueBiodemography and Social Biology · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHomicideDemographyAccidentalEpidemiologySocioeconomic statusPopulationMedicineInjury preventionPoison controlEpidemiological transitionSuicide preventionPediatricsMedical emergencyEnvironmental health

Abstract

fetched live from OpenAlex

This study concerns itself with an investigation of general and cause-specific mortality differentials between Canadian Registered Indians (a subset of all aboriginals) and the larger Canadian population over two points in time, 1981 and 1991. Multivariate analyses are executed separately across four segments of the life cycle: adulthood, infancy, early childhood and late childhood. With respect to adults, Indians share relatively high rates of suicide, homicide and accidental causes of death; over time, their conditional risks of death due to cancer and circulatory afflictions have gone up significantly. Mortality disadvantages for the Indians are also pronounced in infancy, early childhood (ages 1-4) and late childhood (ages 5-14). Suicide, accidents, and violence constitute serious problems among 5-14 year olds, while infectious/parasitic, respiratory and circulatory complications, plus accidents and violence, are principle killers in infancy. For children aged 1-4, respiratory problems and accidents/violence are prime causes of premature death. This less-than-optimal mortality profile is reflective of persistent problems associated with prolonged socioeconomic marginalization. The temporal pattern of change in chronic/degenerative disease mortality among adult Indians suggests a movement of this population toward a mature stage of epidemiological transition.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.998

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 studies0.0030.001
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 head0.018
GPT teacher head0.305
Teacher spread0.287 · 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.

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

Citations18
Published2000
Admission routes2
Has abstractyes

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