MétaCan
Menu
Back to cohort
Record W3006747430 · doi:10.1002/psp.2324

Job changing and internal mobility: Insights into the “declining duo” from Canadian administrative data

2020· article· en· W3006747430 on OpenAlex
Michael Haan, Miguel Cardoso

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePopulation Space and Place · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsBrock UniversityWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsResidenceInternal migrationDemographic economicsEconomicsLabour economicsLabor mobilityPanel Study of Income DynamicsEconomic growthDeveloping country

Abstract

fetched live from OpenAlex

Abstract Considerable research focuses on why internal migration rates are declining across most of the Western world. Several studies also look at why people are less likely to change jobs than they were in the past. In this paper, we look at the prospect of declining economic returns as an explanation for the joint decline in both phenomena in Canada. We use the Canadian Employer‐Employee Dynamics Database, a linked job–individual–family–firm data set, to look at the 5‐year income trajectories for Canadian workers who changed job and province of residence (movers) in 1997, 2002, and 2007. We compare these returns with those of job switchers who did not move (nonmover job switchers) and with those that changed neither jobs nor province (nonmover nonjob switchers). We find that the mover's premium, defined as the increase in income that accompanies either a job change or a geographical move, has decreased over time and argue that this may help explain why internal migration and labour fluidity have been declining.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.724

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 head0.108
GPT teacher head0.344
Teacher spread0.236 · 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