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Pauvreté et convergence des consommations au Canada*

2000· article· en· W2125808643 on OpenAlexaffabout
François Gardes, Patrice Gaubert, Simon Langlois

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicIncome, Poverty, and Inequality
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsConsumption (sociology)GeographyPolitical scienceSocioeconomicsWelfare economicsEconomicsDemographic economicsDemographySociologySocial science

Abstract

fetched live from OpenAlex

To study changes in household consumption patterns, five socio‐economic household groups were defined using a new multidimensional index (IMPR) composed of three dimensions: satisfaction of basic needs, marginalization relative to a reference population, and total disposable household income. When household incomes rose from 1969 to 1992, lower socio‐economic groups did not display the same consumption behaviours as upper‐income classes. The growth in household income during their life‐cycles did not allow them to catch up to higher‐income households. Middle‐class households experienced marked changes in consumption over their life‐cycle's, but in the 1990s, they experienced difficulties. Cinq groupes socioéconomiques de ménages sont définis à l'aide d'un nouvel indice multidimensionnel de pauvreté‐richesse (IMPR), construit à partir de trois dimensions: satisfaction des besoins de base, marginalisation par rapport à une population de référence et revenu total disponible du ménage. De 1969 à 1992, quand les revenus des ménages augmentent, les classes socioéconomiques qui occupent des positions inférieures n'ont pas les mêmes comporte‐ments de consommation que les classes supérieures. La croissance des revenus des ménages les moins riches au cours de leur cycle de vie ne leur permet pas de rattraper les positions des ménages plus riches. Dans les années 1990, la classe moyenne connaît une situation difficile.

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)0.004
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.067
GPT teacher head0.316
Teacher spread0.248 · 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 designNot applicable
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

Citations13
Published2000
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Review of Sociology/Revue canadienne de sociologieSame topicIncome, Poverty, and InequalityFrench-language works237,207