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Record W1984269924 · doi:10.2307/27694760

Friends of Liberty: Thomas Jefferson, Tadeusz Kosciuszko, and Agrippa Hull; A Tale of Three Patriots, Two Revolutions, and a Tragic Betrayal of Freedom in the New Nation

2009· article· en· W1984269924 on OpenAlexaff
François Furstenberg, Gary B. Nash

Bibliographic record

VenueJournal of American History · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsIndependence (probability theory)George (robot)BetrayalHERODeclaration of independenceEliteAncient historyGunpowderHistorySpanish Civil WarLawEmperorClassicsArtArt historyPolitical sciencePoliticsLiteratureArchaeology

Abstract

fetched live from OpenAlex

Gary B. Nash and Graham Russell Gao Hodges have used three intertwined biographies to craft a story of the American Revolution and its confrontation with slavery. Agrippa Hull was a free African American born in Massachusetts; Tadeusz Kosciuszko, the second son of a Polish petty noble family; and Thomas Jefferson—well, he needs no introduction. All three participated in the Revolution: Kosciuszko as a brilliant military engineer; Hull as his orderly; and Jefferson as the author of the Declaration of Independence and governor of Virginia. After the war Hull returned to Stockbridge, Massachusetts, where he worked for a local elite family and patiently built a stable and successful life. Kosciuszko returned to Europe, where he led the failed Polish independence movement of 1794. An international hero, but gravely wounded, Kosciuszko was imprisoned in Russia until a new czar, Paul I, released him in 1796. He arrived in Philadelphia in 1797, where he lived for a year, became close friends with Jefferson, and claimed his revolutionary back pay.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.004
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2009
Admission routes1
Has abstractyes

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