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Record W2157895906 · doi:10.1080/03670244.2014.911178

The Role of Women in Food Provision and Food Choice Decision-Making in Singapore: A Case Study

2014· article· en· W2157895906 on OpenAlex
May C Wang, Nasheen Naidoo, Steve Ferzacca, Geetha Reddy, Rob M. van Dam

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.

Bibliographic record

VenueEcology of Food and Nutrition · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsUniversity of Lethbridge
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsFood choiceEnvironmental healthPsychologyMedicine

Abstract

fetched live from OpenAlex

As countries develop economically and increasing numbers of women enter the workforce, children are partly being cared for by someone other than their mother. Little is known about the impact of this shift in child-care provider on children's nutrition. This study presents findings from a case study of Singapore, a small country that has experienced phenomenal economic growth. Focus groups were conducted with 130 women of varying educational levels and ethnicities to learn about food decisions in their families. The findings showed that Singaporean working women cook infrequently, families eat out frequently, and children exert considerable influence on food choices. Implications for work-family policies and child health are discussed.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.273
Teacher spread0.263 · 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