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Record W4392089643 · doi:10.51644/9780889208230

Negotiating Freer Trade

2006· book· en· W4392089643 on OpenAlexaboutno aff
Ian M. Drummond, Norman Hillmer

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationPolitical scienceInternational tradeBusinessLaw

Abstract

fetched live from OpenAlex

On November 17, 1938, Great Britain, the United States, and Canada, after four years of discussion and manoeuvre, signed two wide–ranging and interlocking trade agreements. A few large elements dominated the talks. The Americans wanted to breach the walls of the British imperial preferential tariff system. The British were anxious to retain markets and political support in the British dominions and the Baltic, while protecting their domestic agriculture and improving political relations with the United States. Canada, whose acquiescence and co–operation were necessitated by the pre–existing network of trade agreements, hoped to win new export markets, to retain old ones, and to achieve international political tranquility through economic means. Although the negotiations began with a mixture of lofty and ignoble motives, in the end the latter predominated. The authors have drawn on archival and statistical materials in all three countries to provide a clear and detailed account of the economic context of the mid–1930s, the process of negotiations, the issues, and the political and economic significance, both then and now, of the final agreements. Their work is a valuable case–study of the problems that face any country that tries to negotiate freer trade. It is therefore full of contemporary resonance and relevance, and will be of interest to students of and specialists in modern history (European, British, and North American), international relations, and international economic policy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.497
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.248
Teacher spread0.235 · 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 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

Citations3
Published2006
Admission routes1
Has abstractyes

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