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Record W2795775339 · doi:10.5663/aps.v7i1.29326

Fertility of Aboriginal People in Canada: An Overview of Trends at the Turn of the 21st Century

2018· article· en· W2795775339 on OpenAlexafffundvenueabout
Jean-Dominique Morency, Éric Caron‐Malenfant, David Daignault

Bibliographic record

Venueaboriginal policy studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicInsurance, Mortality, Demography, Risk Management
Canadian institutionsAboriginal Affairs Northern Dev CanadaStatistics Canada
FundersIndigenous and Northern Affairs Canada
KeywordsFertilityPopulationGeographyMultivariate analysisMultivariate statisticsDemographyTotal fertility rateSocioeconomicsResearch methodologySociologyFamily planningMedicineStatistics

Abstract

fetched live from OpenAlex

This paper aims to give an overview of trends regarding the fertility of Aboriginal people in Canada at the turn of the 21st century (mostly between 1996 and 2011). Total fertility rates and fertility rates by age group are presented for the Aboriginal population as a whole, but also for First Nations, Métis, and Inuit, as well as for the population with Registered Indian status, using various data sources (past censuses, National Household Survey, vital statistics, and Indian Register). Results of a multivariate analysis are presented. This multivariate analysis is conducted in order to improve our understanding of the dynamic behind the fertility behaviour of the Aboriginal population.

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)0.001
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 score0.025
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0060.013
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.047
GPT teacher head0.403
Teacher spread0.357 · 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

Citations6
Published2018
Admission routes4
Has abstractyes

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