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Record W2980419678

Maine's Embargo Forts

2009· article· en· W2980419678 on OpenAlexaboutno aff
Joshua M. Smith

Bibliographic record

VenueDigitalCommons (California Polytechnic State University) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

The Embargo acts, passed in 1806-1808 during the Jefferson administration, were originally designed to punish Great Britain for violating American neutrality on the high seas during the Napoleonic wars. Increasingly, however, the acts were enforced against Americans seeking to defy the embargo and trade with England. Since Maine was heavily committed to trading with Great Britain — and with its colonies immediately to the north of Maine — the War Department ordered several forts built along the District’s coast, ostensibly to protect American citizens from British reprisal or war, but in fact, to enforce the embargoes. The forts brought sharply divided feelings in Maine. Joshua Smith is assistant professor of history at the U.S. Merchant Marine Academy and a specialist in maritime history, naval history, New England history, and Canadian-American relations. He received his M.S. in maritime history and underwater archaeology from East Carolina University, an A.S. from Maine Maritime Academy, an M.A. from the University of St. Andrews in Scotland, in his PhD from the University of Maine. He published Borderland Smuggling: Illicit Trade and the Formation of the U.S.-Canadian Border, 1783-1820 in 2005, and has published several articles in maritime and naval history and a two-volume edited series of documents in American Maritime History.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.017
GPT teacher head0.234
Teacher spread0.217 · 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
GenreEmpirical

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

Citations0
Published2009
Admission routes1
Has abstractyes

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