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‘She is Too Young for These Chores’ — Is Housework Taking a Back Seat in Urban Chinese Childhood?

2012· article· en· W2060481898 on OpenAlexaff
Esther C. L. Goh, Leon Kuczynski

Bibliographic record

VenueChildren & Society · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of Guelph
FundersNational University of Singapore
KeywordsGrandparentPsychologyChild careChinaNuclear familyWork (physics)GrandchildDevelopmental psychologyGender studiesSociologyMedicinePolitical scienceNursing

Abstract

fetched live from OpenAlex

The child in contemporary urban China is experiencing an increasingly exclusive focus on academic achievement at the expense of non‐academic activities, particularly housework. In‐depth interviews with caregivers (including grandparents and parents) from 9 three‐generational families (n = 34) and parents from 10 nuclear families (n = 20) were conducted. Results show that although children from both family types were low in housework participation, children in three‐generational families were perceived by their caregivers to be less competent in performing self‐care and family‐care tasks. They were also less frequently assigned regular tasks as compared with children from nuclear families. Unlike caregivers from western societies, where children's participation in housework is seen as either a means of socialisation or a source of domestic labour, Chinese caregivers consider housework as a distraction, at best an addendum to academic work.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.167
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.007
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.308
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), 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

Citations32
Published2012
Admission routes1
Has abstractyes

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