MétaCan
Menu
← Back to cohort
Record W7064597526

Catching up? : an exploration of convergence in income and human capital at the sub-provincial level in Canada

2009· dissertation· en· W7064597526 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2009
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsHuman capitalConvergence (economics)Capital (architecture)ProductivityProduction (economics)
DOInot available

Abstract

fetched live from OpenAlex

Much of the research into the study of convergence in income and human capital in Canada has been focused on the evidence of this phenomenon at the provincial level.As such, it appears that support for conditional convergence in Canada at the subprovincial level has not yet been found.The purpose of this thesis is to determine if support for convergence can be found for income and human capital in Canada at the sub-provincial level, with the effects of migration also taken into account.To address this objective, a simultaneous system of endogenous equations was constructed and estimated using three-stage least squares.The results show that incomes and human capital stocks were growing faster in areas that had lower initial incomes and human capital stocks, over the 1986 to 2001 time period.These results provide support the convergence hypothesis at the sub-provincial level in Canada.the state/provincial level of a particular nation (Barro and Sala-I-Martin, 1992; Coulombe and Lee, 1995).Most of the researchers have been using simultaneous models of income growth and population change (Bano and Sala-I-Martin, 1992; Deller et al., 2001) or human capital change (Goetz and Hu, 1996; Coulombe and Tremblay,2007; Coulombe,2003).The test of convergence is to check the sign of the parameter for starting income level in an income growth equation.If its sign is negative, convergence is supported.In Canada, the focus on this topic has been centered on the provincial level, with many results showing evidence of convergence.However, at the sub-provincial or community level, evidence of the convergent pattern2 of growth has not been confirmed.In the United States, convergence was found at the county level (Brewin,2004; Goetz and Hu, 1996).For Canada, however, Partridge et al (2007) suggest that the linear nature3 of Canada's population distribution along the U.S. border and lower density may result in behaviour that is dissimilar to the U.S. Bollman (1999) in his study on rural development and human capital briefly noted that Canadian communities with a higher proportion of low income earners appeared to have been "catching up" to in the 1980s.But, he did not specifically investigate this finding as the standard regression of starting income or subsequent growth rates was not shown.With this in mind, the purpose of this thesis will be to determine if convergence is occuning in Canada at the sub-provincial level in per capitaincomes, while accounting 2 The pattem that convergence demonsfi'ates is an inverse relationship befween starting levels of capital or income and subsequent capital or income growth rate.' Partridge et al. (2007), citing C-RERL and U.S. Census 2000 data, state that if a line was drawn from Victoria and Vancouver, BC and Edmonton, AB to Winnipeg, MB and another line beginning in Southern Ontario that stretches up to Ottawa, ON, on to Montreal, PQ and ending in Halifax, NS, about 8l% of the Canadian population were situated below this narrow east-west expanse in 2001 .

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)0.005
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 score0.067
Threshold uncertainty score0.488

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.012
Science and technology studies0.0080.002
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.232
Teacher spread0.210 · 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
Published2009
Admission routes1
Has abstractno

Explore more

Same venueMspace (University of Manitoba)→Same topicMagnetic confinement fusion research→French-language works237,207→