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Record W2090442410 · doi:10.1111/1540-5982.00123

Cost of living, real wages and real incomes in thirteen Canadian cities, 1900–1950

2002· article· fr· W2090442410 on OpenAlexaffvenueabout
J.C. Herbert Emery, Clint Levitt

Bibliographic record

VenueCanadian Journal of Economics/Revue canadienne d économique · 2002
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCost of livingWageStandard of livingEconomicsReal wagesLiving wageLabour economicsDemographic economicsGeographyEconomic growthMarket economy

Abstract

fetched live from OpenAlex

Price indices for thirteen Canadian cities for 1900 to 1950 demonstrate large regional differences in cost of living until 1914. After 1914 regional price levels converged. Before the war, western Canadian cities had the highest cost of living. After 1920 cities in Ontario had the highest cost of living. Accounting for these trends in regional costs of living reveals that regional real wage and real income structures have been present and stable since at least 1901. Thus, regional wage and income disparities are long‐standing and persistent features of the Canadian economy. Coût de la vie, salaires réels et revenus réels dans treize villes canadiennes . Les indices de prix pour treize villes canadiennes entre 1900 et 1950 montrent qu’il y avait de fortes différences dans le coût de la vie jusqu’en 1914. Après 1914, il y a convergence des niveaux de prix régionaux. Avant la guerre, les villes de l’ouest canadien avaient le coût de la vie le plus élevé. Après 1920, des villes de l’Ontario vont avoir le plus haut coût de la vie. Si l’on tient compte de ces tendances régionales dans les niveaux du coût de la vie, il appert que des structures de salaires et de revenus réels ont été en place et stables depuis 1901. Donc, les disparités régionales de salaires et de revenus sont des caractéristiques déjà anciennes et persistantes de l’économie canadienne.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.152
GPT teacher head0.184
Teacher spread0.032 · 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

Citations14
Published2002
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Economics/Revue canadienne d économiqueSame topicHistorical Economic and Social StudiesFrench-language works237,207