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Record W7045720391

Broadside by Alexander Smyth, 1812

2023· other· en· W7045720391 on OpenAlexaboutno aff

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2023
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsNavyState (computer science)ArtilleryOfficerProclamationSpanish Civil WarWhite (mutation)Government (linguistics)YardNomination
DOInot available

Abstract

fetched live from OpenAlex

Alexander Smyth (1765-1830) was an American soldier and Congressman. He was raised in Botetourt County, Virginia during the American Revolution. Smyth practiced law in Abingdon, VA, and later served in the Virginia House of Delegates and the state Senate. In 1808 he was commissioned colonel of the Southwest Virginia rifle regiment, and in 1812 was appointed inspector-general with the rank of brigadier-general in the United States Army. Smyth was given command of a brigade of regulars stationed in Niagara with the intent to invade Canada. After Stephen Van Rensselaer’s failed attack at Queenston in October 1812, Smyth took over command of his forces. Shortly after he issued a confident proclamation declaring that he would quickly conquer Canada. On November 25 he ordered troops at Black Rock, near Buffalo, to prepare to cross the river to Canada. However, he soon realized that only a fraction of the men available would be able to cross on the boats from the navy yard and decided to abandon the attack. A subsequent attempt also proved unsuccessful and Smyth realized that the untrained and ill-equipped army had little chance of success. He was harshly criticized for his failure after his confident proclamation. The U.S. government took him out of the army and he subsequently served in the House of Delegates representing Virginia as well as Congress.

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)0.001
metaresearch head score (Gemma)0.002
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: Other
Teacher disagreement score0.075
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.001
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0750.038

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 head0.008
GPT teacher head0.191
Teacher spread0.183 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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