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Record W2074056225 · doi:10.2307/2651651

Invisible and Inaudible in Washington: American Policies toward Canada

2001· article· en· W2074056225 on OpenAlexaboutno aff
Joël J. Sokolsky, Edelgard Mahant, Graeme S. Mount

Bibliographic record

VenueThe American Historical Review · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsForeign policyWhite (mutation)Political scienceNationalismPolitical economyEconomic historyPublic administrationPoliticsHistoryLawSociology

Abstract

fetched live from OpenAlex

How does the United States view Canada? As a country too unimportant to deserve any defined policy, or one that is to be used simply to complement the U.S. mission in the world? This book investigates the gap between Canadian perceptions of American policy toward Canada and actual U.S. policy. Edelgard Mahant and Graeme Mount examine details of White House policy from 1945 to the 1980s to assess the extent to which the United States could be said to have had a Canada policy. They analyze Canada's role in American foreign policy during the crisis days of the Cold War, and they also discuss economic issues, such as natural resources, trade, and investment. This book takes on and undermines widely held views of American policies toward Canada. It challenges the popular nationalist view that Canada has been treated as peripheral and dependent, but it also counters the opposing view that Washington has respected Canadian advice and benefitted from it. Instead, it argues that for the most part Canada has mattered little in Washington and that America's Canada policy is largely an ad hoc affair. Invisible and Inaudible in Washington offers penetrating new perspectives on American-Canadian relations -- a topic about which many Canadians thought there was little more to say and about which many Americans have scarcely thought at all.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Review · Consensus signal: none
Teacher disagreement score0.576
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.031
GPT teacher head0.306
Teacher spread0.275 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations19
Published2001
Admission routes1
Has abstractyes

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