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Record W2088152777 · doi:10.3138/chr.82.2.283

‘The Member from Michigan’: The Unofficial Diplomacy and Political Isolation of John Charlton, 1892-1903

2001· article· en· W2088152777 on OpenAlexvenueaboutno aff
Edward P. Kohn

Bibliographic record

VenueCanadian Historical Review · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceEthnologyArtSociology

Abstract

fetched live from OpenAlex

In 1891 Liberal Party leader Wilfrid Laurier asked John Charlton, a wealthy lumberman and member of parliament for North Norfolk, Ontario, to travel to Washington to discuss with American politicians the prospect of establishing trading reciprocity. Charlton, a long-time advocate of Canadian-American free trade, had formed contacts with many leading American men during his private trips to press for the dismantling of barriers against the importation of lumber. Charlton’s Washington trips were criticized by the Tories, who labelled the American-born MP the ‘Member from Michigan’ and the ‘Yankee traitor.’ Moreover, historians have criticized Charlton for his often bumbling and self-serving informal diplomacy. Yet Laurier sought to exploit Charlton’s self-interest for his own political goals. He sent Charlton on largely useless missions as a sop to Liberal free-traders, just as protectionists became ascendant both in Washington and within the Liberal Party. Moreover, Laurier promised Charlton official recognition for his work, either in the form of a commissionership to Washington or a cabinet post. After the Liberal election of 1896, however, Charlton became frustrated with the lack of progress on reciprocity, as well as with Laurier’s broken promises of preferment. Increasingly isolated within the party, Charlton virtually broke from the Liberals in the 1900 election. An examination of Charlton’s work as unofficial envoy for Laurier offers valuable insights into Liberal Party politics and Canadian-American relations at the turn of the century.

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 categoriesScience and technology studies
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 score0.513
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.269
Teacher spread0.246 · 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
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

Citations3
Published2001
Admission routes2
Has abstractyes

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