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Record W826883305

Values of Household Production in Korea Compared to U.S., Australia, Finland, and Canada: An Analysis from a Cross-National Comparative Perspective

2005· article· en· W826883305 on OpenAlex
Kyungok Huh, Yoonkyung Yuh

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.

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

VenueInternational journal of human ecology · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicKorean Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)Agricultural economicsGoods and servicesGross domestic productEconomicsProduct (mathematics)GeographyNational accountsBusinessEconomic growthEconomyMarket economy
DOInot available

Abstract

fetched live from OpenAlex

This paper utilized a Korean time-use survey and household expenditure survey in designing an input-output table to develop satellite accounts of household production in Korea in 1999. Additionally, the household production in Korea was compared with that in the United States, Australia, Finland, and Canada. Results of this study may be summarized as follows. First, household production in Korea represented of Gross Domestic Product (GDP,) compared to of GDP in the United States, in Australia, in Finland, and in Canada. Second, labor emerged as the largest input for household production in Korea, while materials and services - both intermediate goods - emerged as the second input. On the other hand, the proportion of housing among the four inputs of household production in Korea was greater than for either the United States or the other countries studied. This implies that the cost of intermediate goods and housing in Korea is more expensive than in other countries.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.735

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 head0.056
GPT teacher head0.347
Teacher spread0.291 · 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