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Record W7069088328

[no title]

2022· other· en· W7069088328 on OpenAlexaboutno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSpeculationState (computer science)FrontierLegislatureCommissionBiographyPolitics
DOInot available

Abstract

fetched live from OpenAlex

Moses Hazen, commander of the Second Canadian Reiment, was an unusual and influential man during the period of the American Revolution. The Tories who fled to Canada have received careful study, but little attention has been paid to the Canadians who came south to aid the colonists in their fight against the British. Hazen was one of the leading agents of the Continental Congress in the efforts to recruit Canadians from Quebec and Nova Scotia. This book is more than a biography of Hazen; it is also the story of the Canadians who left their homes, farms, and businesses to join the Continental Army. Allan Everest analyzes the war, in particular its norther theater, and discusses the shabby treatment the Canadians and their families received during and right after the war. In addition, he provides new information on frontier land grants as a reward for army service, the vast speculation in land, and finances of the young republic. Hazen, a prime example of the speculators right after the war, stuck by his Canadian troops until they, too, were rewarded with land grants on the northern frontiers of New York State. This book was published for the New York State American Revolution Bicentennial Commission. The Commission was created by the New York State legislature in 1968 to plan and conduct statewide commemorative programs for the 200th anniversary of the American Revolution and the birth of New York State.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.651
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0080.011
Open science0.0330.026
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.6630.012

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 head0.116
GPT teacher head0.437
Teacher spread0.321 · 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
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
Published2022
Admission routes1
Has abstractyes

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