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Record W1506488978 · doi:10.34989/swp-2012-31

The Evolution of Canada’s Global Export Market Share

2021· preprint· en· W1506488978 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEconstor (Econstor) · 2021
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economic and Spatial Analysis
Canadian institutionsBank of Canada
Fundersnot available
KeywordsMarket shareMarket share analysisBusinessEconomicsInternational economicsInternational tradeMarket microstructureOrder (exchange)Finance

Abstract

fetched live from OpenAlex

Following gains during the 1990s, Canada’s global market share of goods exports has declined markedly in recent years. In this regard, the constant market share analysis framework is used to decompose changes in Canada’s global market share into competitiveness and structural effects over the 1990‐2010 period, as well as to draw some comparisons to a number of other countries. While Canadian firms have been facing competitiveness challenges in recent years resulting from the persistent strength of the Canadian dollar and poor productivity performance relative to major trade competitors, other factors such as to whom Canada sells its products and the product it sells, have also significantly affected the performance of Canadian exports. Over the past decade, the structure of the geographic market to which Canada exports, with a large weight on the relatively slow‐growing U.S. market, and a small weight on other economies, particularly the relatively fast‐growing emerging market economies, has exerted the majority of the overall net negative impact on Canadian exports.

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.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.015
GPT teacher head0.196
Teacher spread0.181 · 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