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Record W1938766028 · doi:10.25336/p61k7t

History-based Explanatory Framework for Procreative Behaviour of Aboriginal People of Canada

2008· article· en· W1938766028 on OpenAlexaffvenueabout
Anatole Romaniuk

Bibliographic record

VenueCanadian Studies in Population · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNormativeFertilityContext (archaeology)PopulationIdeal (ethics)IdeologyPositive economicsSociologyDemographic transitionExplanatory modelDemographyHistoryGenealogyPolitical scienceEpistemologyLawEconomicsPolitics

Abstract

fetched live from OpenAlex

The transition from traditional high to modern low fertility is in the forefront of empirical and theoretical investigations in contemporary aboriginal demography. The challenging question therein remains why its fertility has started to decline a century or so after the rest of Canada, and why it continues to trail the latter by a considerable lag. The objective of this paper is to present a history-based explanatory framework of the childbearing behaviour of Canadian aboriginal peoples, as it has evolved over time from the very first contact with Europeans to our day. Turning to existing theories for possible elucidation of these idiosyncrasies, we find that while accounting for certain aspects, they leave others unexplained. History provides a more satisfying explanation when we cast an eye not on the “abstract” population, “ideal-type” or what we today like to call “model”, but on real population, or family thereof, in its spatio-temporal context. The “between-two-cultures” paradigm presented here, based on ethnocentricity and dependency, could be seen as a an explanatory paradigm of competing forces on the Canadian aboriginals: on the one hand, those pushing toward modern norms of childbearing; and on the other, traditional values and structures, as shattered as they are, with their pro-natalist ideologies resisting normative changes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.999

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 studies0.0010.000
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 head0.041
GPT teacher head0.346
Teacher spread0.304 · 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

Citations7
Published2008
Admission routes3
Has abstractyes

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