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Record W3182983562 · doi:10.18357/ijcyfs122202120232

BEATING BROKE BY GETTING OUT? EXAMINING THE RELATIONSHIP BETWEEN PERSONAL DEBT AND COMMUNITY-OUTMIGRATION

2021· article· en· W3182983562 on OpenAlexaffvenue
Alyssa Gerhardt, Karen Foster

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDebtExtant taxonScholarshipMobilitiesIdentity (music)SociologyPersonal networkSocial psychologyPsychologyEconomicsEconomic growthSocial scienceFinance

Abstract

fetched live from OpenAlex

Scholarship on young people’s geographical mobilities tells us that young adults move away from their childhood communities for a complex mix of economic “push-pull” reasons, including relationships, aspirations, attachments to place, identity, and belonging. In this abundant research, particularly that which focuses on youth outmigration from rural and peripheral communities, there is surprisingly little attention paid to an issue that is top-of-mind for many young adults today: personal debt. In this paper, we draw insights from extant literature on youth mobilities to make the case for a greater examination of the role of personal debt in young people’s migration decisions. We hypothesize that youth and debt increase a person’s likelihood of moving away from peripheral regions. We test this hypothesis using data from a 2019 survey of Atlantic Canadians and find some support for it, and some interesting nuance, suggesting that there is good reason to examine debt’s role in youth mobilities in greater detail.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.077
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.085
GPT teacher head0.286
Teacher spread0.201 · 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

Citations1
Published2021
Admission routes2
Has abstractyes

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