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Record W2011812998 · doi:10.1017/s136898000700081x

Adequacy of food spending is related to housing expenditures among lower-income Canadian households

2007· article· en· W2011812998 on OpenAlexafffundabout
Sharon I. Kirkpatrick, Valerie Tarasuk

Bibliographic record

VenuePublic Health Nutrition · 2007
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsEconomicsDemographic economicsBusinessEnvironmental healthAgricultural economicsPublic economicsMedicine

Abstract

fetched live from OpenAlex

OBJECTIVES: A number of studies have pointed to the pressure that housing costs can exert on the resources available for food. The objectives of the present study were to characterise the relationship between the proportion of income absorbed by housing and the adequacy of household food expenditures across the Canadian population and within income quintiles; and to elucidate the impact of receipt of a housing subsidy on adequacy of food expenditures among low-income tenant households. DESIGN: The 2001 Survey of Household Spending, conducted by Statistics Canada, was a national cross-sectional survey that collected detailed information on expenditures on goods and services. The adequacy of food spending was assessed in relation to the cost of a basic nutritious diet. SETTING: Canada. SUBJECTS: The person with primary responsibility for financial maintenance from 15 535 households from all provinces and territories. RESULTS: As the proportion of income allocated to housing increased, food spending adequacy declined significantly among households in the three lowest income quintiles. After accounting for household income and composition, receipt of a housing subsidy was associated with an improvement in adequacy of food spending among low-income tenant households, but still mean food spending fell below the cost of a basic nutritious diet even among subsidised households. CONCLUSIONS: This study indicates that housing costs compromise the food access of some low-income households and speaks to the need to re-examine policies related to housing affordability and income adequacy.

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 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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.163
GPT teacher head0.427
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations92
Published2007
Admission routes3
Has abstractyes

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