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Canada's Resource Curse: Too Much of a Good Thing

2009· article· en· W2140268261 on OpenAlexaffabout
Daniel Drache

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsYork UniversityRobarts Clinical Trials
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyCartographyGeography

Abstract

fetched live from OpenAlex

Canada has been both blessed and cursed by its vast resource wealth. Immense resource riches send the wrong message to the political class that thinking and planning for tomorrow is unnecessary when record high global prices drive economic development at a frenetic pace. Short-termism, the loss of manufacturing competitiveness ('the Dutch disease') and long term rent-seeking behavior from the corporate sector become, by default, the low policy standard. This article contends that Canada is not a simple offshoot ofAnglo-American, hyper-commercial capitalism, but is subject to the recurring dynamics of social Canada and for this reason the Northern market model of capitalism needs its own theoretical articulation. Its distinguishing characteristic is that there is a large and growing role formixed goods and non-negotiable goods in comparison to the United States even when the proactive role of the Canadian state had its wings clipped to a degree that stunned many observers. The article also examines the uncoupling of the Canadian and U.S. economies driven in part by the global resource boom. The downside of the new staples export strategy is that hundreds of thousands of jobs have disappeared fromOntario and Quebec. Ontario, once the rich "have" province of the Confederation, is now a poor cousin eligible for equalization payments. Unlike earlier waves of deindustrialization, there is little prospect for recovering many of these better paying positions. Without a focused government strategy, the future for Canada's factory economy is grim. The final section addresses the dynamics of growing income polarization and its lessons for the future. With a global slowdown or worse on the horizon, Canada's unique combination of mixed goods and orthodox market-based policies is likely to be unsustainable in its current form. For countries with a similar endowment, the Northern model is unexportable.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.208
Teacher spread0.194 · 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 designTheoretical or conceptual
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

Citations5
Published2009
Admission routes2
Has abstractyes

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