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Record W1541812417 · doi:10.1080/0966369x.2015.1073698

Towards individualising couple finance: women’s housing assets and household decisions in Japan

2015· article· en· W1541812417 on OpenAlexfundno aff
Misa Izuhara

Bibliographic record

VenueGender Place & Culture · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
FundersEconomic and Social Research CouncilUniversity of British Columbia
KeywordsAutonomyFinancial independenceDiversification (marketing strategy)Asset (computer security)Unit (ring theory)Independence (probability theory)WelfareContext (archaeology)EconomicsEconomic growthBusinessLabour economicsFinanceDemographic economicsPolitical scienceMarket economyGeographyPsychology

Abstract

fetched live from OpenAlex

Individualisation, which is increasingly promoted in European welfare states, tends to be absent from policy discourse as well as housing studies in Japan. It is largely because the ‘family as a unit’ is still a dominant approach in their household finance, social security and taxation systems, which also reflects women’s lack of home ownership. However, recent demographic trends such as falling marriage rates, low fertility and increased female labour participation indicate significant diversification in women’s life-course. Thus, today women making their own financial investment and house purchase have increasingly become popular practice. In this context, a new approach beyond the conventional ‘family as a unit’ may be required in the development of a new social contract. Drawing on data from qualitative research conducted among women in their 30s, this article explores the relationship between financial independence, household decisions and asset holding of partnered women in Japan, which reveals contested dimensions of women’s independence and autonomy in household and family life. Through the lens of home ownership, it considers the importance of promoting individual assets in order to foster gender equality in marriage.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.731
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.084
GPT teacher head0.256
Teacher spread0.172 · 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.

Study designNot applicable
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

Citations8
Published2015
Admission routes1
Has abstractyes

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