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Record W4406897520 · doi:10.56687/9781447301233-006

Three Place and residence attachments in Canada’s older population

2013· book-chapter· en· W4406897520 on OpenAlexaboutno aff
K. Bruce Newbold

Bibliographic record

VenuePolicy Press eBooks · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsResidenceGeographyDemographySociology

Abstract

fetched live from OpenAlex

This original empirical chapter reports on an instructive analysis of authoritative Canadian national data, to explore place ties and other location attachments accumulated over a lifespan, such as school, workplace or favoured vacation destination. The chapter analyses ‘fixed interval’ return (migrations returning an individual to the region of residence five years prior to census day) and onward (migrations to a subsequent destination) migration among Canada’s older population. The chapter examines the incidence, composition, spatial patterning, and correlates of these migrations. Analysis reveals a migration system that is largely complementary to that observed within the broader population, although onward migration is relatively unimportant for this group, and the motivations and characteristics vary by age group amongst older migrants. The chapter also raises methodological issues, including sampling and ability to generalize results.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0190.005
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.000

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 head0.037
GPT teacher head0.297
Teacher spread0.260 · 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

Citations0
Published2013
Admission routes1
Has abstractno

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