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Record W2165583393 · doi:10.1093/aepp/ppt023

While Mothers Work Do Children Shirk? Determinants of Youth Obesity

2013· article· en· W2165583393 on OpenAlexafffundabout
James Chowhan, Jennifer M. Stewart

Bibliographic record

VenueApplied Economic Perspectives and Policy · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsCarleton UniversityMcMaster University
FundersCanadian Institutes of Health Research
KeywordsEndogeneityNational Longitudinal SurveysInstrumental variableAllowance (engineering)ObesityPsychologyLongitudinal studyDevelopmental psychologyWork (physics)Demographic economicsEconomicsMedicineEconometrics

Abstract

fetched live from OpenAlex

Abstract This paper examines the relationship between adolescent obesity and maternal employment, and focuses on the possible pathways and factors that mediate this relationship, including television viewing, activities, eating habits, and allowance. We extend existing knowledge about this relationship using the Canadian National Longitudinal Survey of Children and Youth for adolescents between the ages of 12 and 17 in the years 1996 to 2001. Fixed effect and instrumental variable models are estimated to examine endogeneity issues. We find that maternal employment is negatively related to the pathway variables. In contrast to previous research, we find little indication of a relationship between maternal employment and adolescent obesity. These results imply that policy needs to focus on the activities of adolescents while their parents 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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.329
Threshold uncertainty score0.655

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.252
Teacher spread0.240 · 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 designObservational
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

Citations9
Published2013
Admission routes3
Has abstractyes

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