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Record W4233539497 · doi:10.3138/9781442670327

A Good and Wise Measure

2001· book· en· W4233539497 on OpenAlexaboutno aff
Francis M. Carroll

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2001
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMeasure (data warehouse)Computer scienceData mining

Abstract

fetched live from OpenAlex

In this detailed and fascinating book, Francis Carroll tells the story of the attempts to settle the original boundary between Canada and the United States from the Atlantic coast to the middle of the continent. Established by the Treaty of Paris in 1783, it soon became clear that ambiguities and errors in the treaty brought confusion and rivalry in the boundary borderland from New Brunswick and Maine to the St. Lawrence River, through the Great Lakes and from Lake Superior to Lake of the Woods, in the heart of the continent. This borderland, steadily filling with people of competing interests - Loyalists and Yankees, fur traders and soldiers, Europeans and First Nations peoples - became the focus of the major crisis in Anglo-Canadian-American relations for almost sixty years. Drawing on extensive research and utilizing manuscript materials never brought to bear on the subject before, The Search for Boundary is the first work to thoroughly explain the efforts of the several Boundary Commissions and the failed arbitration of the King of Netherlands - all major international attempts to settle the boundary. The book also provides a fresh interpretation of the relevance the turbulent decade of the 1830s had in contributing to the sense of urgency that finally allowed for negotiation of a reasonable compromise settlement of the boundary in the Webster-Ashburton Treaty of 1842 -- "A good and wise measure," as Lord Ashburton called it. Filled with the politics and intrigues of the time, Carroll brings to life a remarkable time in the diplomatic and political history of both Canada and the United States.Winner of the Dafoe Book Prize, awarded by the J.W. Dafoe Foundation

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.390
Threshold uncertainty score0.652

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)0.0000.000

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 head0.021
GPT teacher head0.220
Teacher spread0.199 · 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
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

Citations25
Published2001
Admission routes1
Has abstractyes

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