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Expected inheritance and pension attitudes among young people in EU post-communist vs. Anglosphere countries

2024· article· en· W4403781820 on OpenAlex

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aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJOURNAL OF INTERNATIONAL STUDIES · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsInheritance (genetic algorithm)CommunismPensionDemographic economicsPost communistPolitical scienceDemographyEconomicsSociologyLawBiologyGeneticsPolitics

Abstract

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The goal of the study is to evaluate the influence of participants' expected inheritance (assets) on their attitudes toward etatism and pension benefits. The primary question is whether young people with an expected family inheritance exhibit different attitudes in these areas. Additionally, the study examines attitudes across gender, age, and country. One of the most significant challenges of pensions is preserving value over an individual's lifetime, as there is no definitive answer regarding which assets perform best in this regard. Public skepticism toward the pension system and the state is common, complicating matters further. This problem is particularly pronounced among younger individuals who have yet to assume full economic and financial responsibilities. They are often less economically literate and have limited access to financial advice. However, they do receive some foundational prior knowledge from their homes. The rationale for incorporating attitudes towards pensions as a valid variable is that prior knowledge plays a crucial role in judgments on specific issues, such as preserving value in the future or evaluating long-term investments. Even without personal experience, individuals have attitudes that shape their judgments. Overall, more than 700 people participated in the study. After removing outliers, N= 531 valid cases from seven countries: Poland, Romania, the USA, the UK, Canada, and Ireland. A power analysis preceded the testing of the MANOVA model. We found a significant difference in attitudes among participants who grew up in families investing in real estate and tangible assets. Those from families that invested in tangible assets exhibited a stronger concern regarding pension benefits, implying that people with such investments feel less secure about their pensions. Additionally, we found a significant interaction effect between the type of country and expected inheritance. In the Anglosphere countries, people have more positive attitudes toward etatism and pension benefits compared to those in Poland and Romania. This outcome confirms stronger kinship ties in the latter countries and a higher cultural attachment to real estate.

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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)0.001
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 score0.015
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.013
GPT teacher head0.270
Teacher spread0.256 · 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