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Record W161448654

The Seven Years' War in New York State: Introduction

2005· article· en· W161448654 on OpenAlexaboutno aff
Timothy J. Shannon

Bibliographic record

VenueThe Cupola: Scholarship at Gettysburg College (Gettysburg College) · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)HistoryComputer scienceProgramming language
DOInot available

Abstract

fetched live from OpenAlex

Ask the average person on the street about the Seven Years' War and you are likely to get a blank stare. Try again, only this time call the conflict "The French and Indian War" and you might get a faint smile of recognition. Take a different approach: ask random strangers their opinion about The Last of the Mohicans. Many will tell you they loved it, although they will more likely be thinking about Daniel Day-Lewis than James Fenimore Cooper. Such has been the fate of one of the most important events in early history. In 2004, the 250th anniversary of George Washington's surrender at Fort Necessity passed quietly, recognized mostly by historians, reenactors, and local institutions in southwestern Pennsylvania already familiar with the story. A year later, the anniversary of Braddock's Defeat passed under similar circumstances. The coming years will bring similar anniversaries at places whose names evoke North America's colonial past: Ticonderoga, Niagara, Louisbourg, and Quebec. Museums, historical societies, and various other organizations have launched symposia, conferences, and exhibits to honor the occasion, and there is even a PBS television production scheduled for broadcast in early 2006. But no single event commemorating the 250th anniversary of the Seven Years' War in America is likely to capture national interest in the way the Bicentennial did in 1976 or Ken Burns's Civil War series did in 1990. [excerpt]

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0050.002
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.280
Teacher spread0.259 · 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; both teacher heads agree on what is shown here.

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
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueThe Cupola: Scholarship at Gettysburg College (Gettysburg College)Same topicAmerican Constitutional Law and PoliticsFrench-language works237,207