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Record W2602340816 · doi:10.3138/jcfs.44.6.783

Financial Transfers Between Adult Children and Parents in Migrant Families From The Former Soviet Union

2013· article· en· W2602340816 on OpenAlexvenueno aff
Claudia Vogel, Elena Sommer

Bibliographic record

VenueJournal of Comparative Family Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsGermanEthnic groupSoviet unionDemographic economicsWelfarePolitical scienceEconomicsEconomic growthGeography

Abstract

fetched live from OpenAlex

This paper examines patterns of financial transfers between adult children and their parents in migrant families from the former Soviet Union in Germany. Data from the survey on Ageing of Soviet Union Migrants (ASUM) 2011 allows to compare the exchange of financial transfers in migrant families with elderly parents living in Germany as opposed to migrant families with elderly parents living in the country of origin. Results indicate a substantial number of transnational child-parent relationships among ethnic German migrants from the former Soviet Union. As to the exchange of resources, while financial transfers typically flow from parents to adult children if migrant's parents live in Germany, this is not the case in transnational child-parent relationships, here financial transfers flow more often from adult children in Germany to the elderly parents abroad. We interpret these different patterns in the direction of giving and receiving financial transfers between adult children and parents in transnational or non-transnational relationships as differences in the welfare systems which guarantee different levels of provision for old age.

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 score0.090
Threshold uncertainty score0.699

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 head0.034
GPT teacher head0.316
Teacher spread0.282 · 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

Citations10
Published2013
Admission routes1
Has abstractyes

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