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Record W2163123718 · doi:10.1353/cja.2005.0037

Geographic Dimensions of Aging in Canada, 1991-2001

2004· article· fr· W2163123718 on OpenAlex
Eric G. Moore, Michael A. Pacey

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

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2004
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsMetropolitan areaNet migration ratePopulation ageingPopulationGeographyEconomic geographyInternal migrationDemographyPopulation growthSociology

Abstract

fetched live from OpenAlex

Although population aging on a national scale has received much attention in Canada, its geographical dimensions have not. This paper examines the demographic processes that underlie population aging at the provincial and metropolitan scales for the periods 1991 to 1996 and 1996 to 2001. We differentiate between the effects of aging-in-place and net migration on population aging. We also examine the relationships between the various measures of aging and the social and economic characteristics of metropolitan areas over the two periods. While aging-in-place is the dominant force in population aging, net migration is more volatile and more likely to produce shifts in the trajectory of aging. Out-migration of the young from areas with weak local economies is a particularly important contributor to aging. British Columbia exhibited a sharp increase in aging in the latter part of the 1990s as net in-migration of younger populations declined, while a number of smaller, resource-based, urban communities also exhibited aging, as out-migration of the young accelerated.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.218
Teacher spread0.207 · 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