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Record W2270608662

Convergence et divergence provinciales au Canada, de 1926 à 2011

2015· preprint· fr· W2270608662 on OpenAlexaboutno aff
W. Mark Brown, Ryan J. MacDonald

Bibliographic record

VenueRePEc: Research Papers in Economics · 2015
Typepreprint
Languagefr
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceConvergence (economics)EconomicsArtEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

La presente analyse a pour objectif d?examiner la convergence interprovinciale du revenu au Canada de 1926 a 2011 en utilisant des estimations du revenu du menage disponible par habitant fondees sur les Comptes nationaux. Le revenu du menage disponible est le revenu dont disposent les particuliers pour la consommation et l?epargne, et est par consequent etroitement associe au bien-etre materiel. Par convergence, nous entendons la tendance des niveaux de revenu dans diverses economies a devenir plus semblables dans le long terme. Au sens le plus litteral, la convergence implique que tous les revenus disponibles par habitant provinciaux au Canada finiront par atteindre un meme niveau. Des formes moins rigoureuses de convergence tiennent compte des ecarts de niveau de revenu par habitant attribuables a des differences structurelles entre les provinces. Des facteurs tels que la richesse en ressources, l?urbanisation, le capital humain et la structure industrielle sont consideres comme etant a l?origine de tels ecarts.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.028
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.008
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.055
GPT teacher head0.279
Teacher spread0.223 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicEconomic Growth and ProductivityFrench-language works237,207