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Record W2162610442

Home Cooking, Food Consumption and Food Production among the Unemployed and Retired Households

2006· article· en· W2162610442 on OpenAlexaffabout
Matthew Brzozowski, Yuqian Lu

Bibliographic record

VenueSocial and Economic Dimensions of an Aging Population Research Papers · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsConsumption (sociology)CalorieUnemploymentFood consumptionFood processingProduction (economics)EconomicsConsumer Expenditure SurveyAgricultural economicsBusinessFood scienceEconomic growthMedicineAggregate expenditurePublic economicsBiology
DOInot available

Abstract

fetched live from OpenAlex

Utilizing the 1996 Canadian Food Expenditure survey matched with Canadian Nutrient File, we separate actual food consumption from observed expenditure and test the Permanent Income/Life Cycle Hypothesis on the true consumption data. We find that the lower food expenditure during periods of unemployment or retirement (previously reported in the literature), does not translate into poorer nutrition. Household calorie intake and major nutrient intake seem to be unaffected by changes in employment status. We find evidence that unemployed or retired households substitute food purchased from restaurants for food purchased for at home consumption. Further, with the 1998 Time Use Survey we find that individuals who are not employed devote more time for food preparation. Finally we present limited evidence that unemployed and retired households substitute precooked meals for meals made from primary ingredients.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.514

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.063
GPT teacher head0.324
Teacher spread0.261 · 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
Published2006
Admission routes2
Has abstractyes

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