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Record W1574002846

Land, Income and Regional Inequality: New Estimates of Provincial Incomes and Growth in Canada, 1871-1891

2002· article· en· W1574002846 on OpenAlexaffabout
Kris Inwood, Jim Irwin

Bibliographic record

VenueÉrudit (Université de Montréal) · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsInequalityCensusDemographic economicsEconomic inequalityPoliticsConstruct (python library)EconomicsGeographyDevelopment economicsPolitical scienceSociologyPopulationDemographyLaw
DOInot available

Abstract

fetched live from OpenAlex

THROUGHOUT THE LATER 20TH CENTURY people living at or near Canada’s east coast have experienced lower wages, incomes and wealth than Canadians living in the centre and west of the country.1 The historical origin and long-term nature of the inter-regional patterns are of some interest. If regional inequality originated in the early 20th or in the 19th century, then the analysis of causation must focus on influences that predate or coincide with the first appearance of inequality and on the structures that have contributed to its persistence. On the other hand, if the long-term record reveals significant fluctuations in regional inequality from decade to decade then attention must focus on the nature and causes of short-term fluctuations. All lines of investigation rely on a clear understanding of the timing of the origin of inequality and the nature of the long-term pattern. The census enumeration undertaken in the spring of 1871 provides the earliest systematic evidence of social patterns on a comparable basis in all parts of Canada, as it then existed.2 This information allows us to estimate income inequality among the former British colonies that joined in the political union of 1867. A first attempt to construct regional incomes in 1871 is reported elsewhere.3 This paper provides a significant revision and extension of the earlier estimate. It summarizes our new evidence and assesses the extent to which it changes our view of early inequality. Details of the estimation are reported in Appendix A. It also considers the implications of this evidence for an understanding of agriculture, an important source of income for families in all parts of Canada. An important body of literature argues that Maritime agriculture expanded during the later 19th century by drawing more and more land into production, but that the land was of diminishing quality which in turn caused a decline in agricultural income

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.159
Teacher spread0.151 · 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.

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

Citations30
Published2002
Admission routes2
Has abstractyes

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