MétaCan
Menu
Back to cohort
Record W2163123718 · doi:10.1353/cja.2005.0037

Geographic Dimensions of Aging in Canada, 1991-2001

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

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.

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)0.003
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 score0.041
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.008
Science and technology studies0.0020.001
Scholarly communication0.0010.001
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 head0.011
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

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

Citations43
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicMigration, Aging, and Tourism StudiesFrench-language works237,207