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Record W4254933053 · doi:10.13085/eijtur.7.1.73-92

New developments in time technology - projects, data, computing and services

2010· article· en· W4254933053 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venueelectronic International Journal of Time Use Research · 2010
Typearticle
Languageen
FieldComputer Science
TopicDistributed and Parallel Computing Systems
Canadian institutionsUniversity of Toronto
FundersOffice of ScienceEconomic and Social Research CouncilUniversity of TorontoRockwool FondenUniversity of the West of EnglandAlfred P. Sloan FoundationNational Science Foundation
KeywordsComputer scienceData scienceEngineering managementEngineering

Abstract

fetched live from OpenAlex

This paper examines boys' and girls' housework in a Nordic welfare state which is characterized by both high labor market participation rates for mothers and fathers and a narrow income distribution which makes it expensive for ordinary parents to hire paid household help. We use data from the European Community Household Panel Survey 1998 and run tobit-regressions to take the number of children reporting no housework into consideration. The results show that children do only a minor part of the total housework, and that boys participate less than girls. There is a positive impact of mothers' full time work on children's housework, while mothers having a higher education level decrease boys' participation in housework. Finally, the time children spend on paid work is found more positively correlated with girls' than with boys' contributions to housework.

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)0.003
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0000.001
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 head0.032
GPT teacher head0.355
Teacher spread0.323 · 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