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Record W4376604736 · doi:10.3386/w31238

The Empire Project: Trade Policy in Interwar Canada

2023· report· en· W4376604736 on OpenAlexaboutno aff
Markus Lampe, Kevin O’Rourke, Lorenz Reiter, Yoto V. Yotov

Bibliographic record

VenueNational Bureau of Economic Research · 2023
Typereport
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsEmpirePolitical scienceEconomicsGeologyEconomic historyAncient historyHistory

Abstract

fetched live from OpenAlex

This paper uses a new dataset on the universe of Canadian imports and tariffs between 1924 and 1936, disaggregated into 1697 goods originating in 112 countries, to analyze the impact on Canadian imports of interwar Canadian trade policy, including the 1932 Ottawa trade agreements.Rather than use a dummy variable approach, we compute the impact of individual tariffs which varied substantially across goods, trade partners, and time.We develop a novel method of controlling for multilateral resistances in the context of a one-country dataset, and perform a variety of counterfactual exercises to determine the impact of tariffs on trade flows.The overall impact of post-1929 tariff shifts, including the 1932 agreements, was relatively small, reflecting the fact that Canadian trade policy was already highly protectionist: trade agreements can have heterogenous effects on participants because the shocks involved are different.Compared with a free trade counterfactual, the impact of the overall structure of protection on the level and composition of trade was large.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.281

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.014
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.441
GPT teacher head0.554
Teacher spread0.113 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

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