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Record W164045407

Comparative Analysis of Household Work Contributions and Related Factors of the Elderly between Korea and Canada

2005· article· en· W164045407 on OpenAlexaboutno aff
Soon-Hee Joung

Bibliographic record

VenueJournal of Korean Home Management Association · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicKorean Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTime-use surveyWork (physics)ProductivityWelfareSurvey data collectionUnpaid workDemographic economicsPaid workDescriptive statisticsOfficial statisticsEconomic growthEconomicsMedicineStatisticsEngineering
DOInot available

Abstract

fetched live from OpenAlex

In this study, we challenge recent apocalyptic rhetoric about idle, burdensome, and dependent older people. Our primary objective is to examine and compare the productive activities of older adults in both Korea and Canada using a broader definition of productivity that included household work. Another objective is to identify and compare the factors related to the participation of household work of older adults in both countries. In order to conduct a comparative culture study two data sets were used; one was the 1999 Survey of Time Use collected by Korean Statistics Office and the other was 1998 Survey of Time Use collected by Canadian Statistics Office. Many countries have been collected a time use survey and used to study labor, welfare, and culture. Total number of 17,730 Korean and 2,729 Canadian between when and 84 were included to analyze the data. It is clear from the results that older people engage in productive behaviors, particularly when the definition of activities is broadened to include unpaid work. However, it is also clear the productive contributions in terms of household work ale lower among older Koreans than among older Canadians.

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 score0.043
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.213
Teacher spread0.202 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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