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Record W4415412251 · doi:10.1111/grow.70075

Health and Older Adult Return Migration in Canada

2025· article· en· W4415412251 on OpenAlexafffundabout
K. Bruce Newbold

Bibliographic record

VenueGrowth and Change · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsMcMaster University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCensusActivities of daily livingClimbingOlder peopleIndependent livingHealth care

Abstract

fetched live from OpenAlex

ABSTRACT The proportion of older adults (aged 65+) in Canada is growing rapidly. While many of these older adults will expect or desire to age in place, many will either move to “downsize” their living space, move to be closer to family for support, or move into care facilities such as long‐term care homes. However, despite significant attention to migration flows within the labor force, there has been much less attention given to migration within Canada's older adult population, especially with respect to the role of health as a determinant of migration. The addition of information on Activities of Daily Living (ADL), such as difficulty with hearing, seeing, communicating, walking, climbing stairs, bending, and learning, to the Canadian census may provide additional insights into the role of health in the migration decisions of older adults. Drawing on data from the Canadian census, this paper therefore explores the potential motivations for return migration among older adults, with specific reference to the role of Activities of Daily Living as a determinant of migration.

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 score0.363
Threshold uncertainty score0.180

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 studies0.0000.000
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 head0.014
GPT teacher head0.257
Teacher spread0.243 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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