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Record W3094462778 · doi:10.3138/jcfs.51.3-4.011

Japanese Families and COVID-19: “Self-Restraint”, Confined Living Spaces, and Enhanced Interactions

2020· article· en· W3094462778 on OpenAlexvenueno aff
Allen J. Kim, Johanna O. Zulueta

Bibliographic record

VenueJournal of Comparative Family Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)PandemicInequalityPerceptionPerspective (graphical)Public policyPublic healthEconomic growthSociologyCoronavirus disease 2019 (COVID-19)Political sciencePsychologyEconomicsMedicine

Abstract

fetched live from OpenAlex

COVID-19 is transforming how families and societies respond to this public health crisis. This global public health issue has both short and long term ramifications for how people work, go to school, care for families, and communicate. This paper provides a portrait of the changes and effects brought upon by the pandemic and government appeals for “self-restraint” (as opposed to lockdown policies in other countries). In addition, the experiences of Japanese families from the perspective of university students, looking at several aspects such as work, schooling, and relationships. The observations suggest that there are notable impacts upon the Japanese family brought upon by new living arrangements. These include increased interactions and opportunities for more frequent communication between family members. On the other hand, significant issues including financial insecurity caused by reduced or stagnant incomes, tensions between family members due to work-at-home lifestyles, exacerbate existing problems faced by Japanese families. The stress from new living arrangements in small dwellings may have further intensified gender inequality in the division of housework and carework, and become a catalyst for greater strain in relationships. This paper provides an assessment of the current changes experienced by Japanese families based on news reports and statistical data, as well as perceptions of the pandemic from Japanese university students.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.542

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 studies0.0010.000
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 head0.085
GPT teacher head0.389
Teacher spread0.304 · 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 designQualitative
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

Citations14
Published2020
Admission routes1
Has abstractyes

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