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Record W2415548356

Life expectancy in the Inuit-inhabited areas of Canada, 1989 to 2003.

2008· article· en· W2415548356 on OpenAlexaffabout
Russell Wilkins, Sharanjit Uppal, Philippe Finès, Sacha Senécal, Éric Guimond, R. Dion

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsStatistics CanadaHealth Canada
Fundersnot available
KeywordsCensusLife expectancyGeographyPopulationDemographySocioeconomicsSociology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: Because of a lack of Aboriginal identifiers on death registrations, standard data sources and methods cannot be used to estimate basic health indicators for Inuit in Canada. Instead, a geographic-based approach was used to estimate life expectancy for the entire population of Inuit-inhabited areas. DATA SOURCES: The data are from the Canadian Mortality Database and the Census of Canada. ANALYTICAL TECHNIQUES: Areas where at least 33% of residents were Inuit were identified, based on census results. Vital statistics death records for 1989 through 2003 and census population counts for 1991, 1996 and 2001 were used to compute abridged life tables for the Inuit-inhabited areas in each of the three 5-year periods centered around those census years. MAIN RESULTS: In 1991, life expectancy at birth in the Inuit-inhabited areas was about 68 years, which was 10 years lower than for Canada overall. From 1991 to 2001, life expectancy in the Inuit-inhabited areas did not increase, although it rose by about two years for Canada as a whole. As a result, the gap widened to more than 12 years. Life expectancy in the Inuit-inhabited areas was generally highest in the Inuvialuit region (Northwest Territories) and Nunavut (Territory), followed by Nunatsiavut (Labrador) and Nunavik (Quebec). While these results are not specific to the Inuit population, such geographic-based methods can be used with any administrative datasets that include postal codes or municipal-level locality codes.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.480
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.043
GPT teacher head0.286
Teacher spread0.244 · 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

Citations63
Published2008
Admission routes2
Has abstractyes

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