MétaCan
Menu
Back to cohort
Record W2126244115 · doi:10.1177/0160017607309447

Trade and the Industrial Specialization of Canadian Manufacturing Regions, 1974 to 1999

2008· article· en· W2126244115 on OpenAlexaffabout
W. Mark Brown

Bibliographic record

VenueInternational Regional Science Review · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economics and Spatial Analysis
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsEconomicsComparative advantageEconomic geographyInternational tradeEconomic integrationFree tradeManufacturingTrade barrierRegional tradeInternational economicsBusiness

Abstract

fetched live from OpenAlex

Using a longitudinal micro data file of manufacturing plants (1974 to 1999), this study tests the relationship between trade and industrial specialization experienced by regional manufacturing economies. Consistent with trade driven by comparative advantage, the analysis demonstrates that export intensity (exports as a share of output) is positively associated with industrial specialization. This association is strongest in cross-section but remains, albeit weaker, when the data are differenced throughout time. The association between trade and specialization is strongest outside of urban areas and Ontario and Quebec, regions where trade is most likely driven by access to resource endowments. The association between trade and specialization weakens significantly after 1990, a period that corresponds with the rapid integration of the Canadian economy into the U.S. market resulting from trade liberalization.

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)0.003
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 score0.021
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.010
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.102
GPT teacher head0.254
Teacher spread0.152 · 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

Citations3
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueInternational Regional Science ReviewSame topicRegional Economics and Spatial AnalysisFrench-language works237,207