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Record W4379792541 · doi:10.1353/jer.2023.a897987

The Hudson River Valley Loyalists in British North America: Connection, Community, and Continuity

2023· article· en· W4379792541 on OpenAlexaboutno aff
Kieran J. O’Keefe

Bibliographic record

VenueJournal of the Early Republic · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPersecutionSpanish Civil WarPoliticsHistoryEconomic historySociologyAncient historyLawArchaeologyPolitical science

Abstract

fetched live from OpenAlex

The American Revolutionary War brought tremendous pain and suffering to Loyalists in New York's Hudson River Valley. They endured violence, persecution, and dislocation. When the war ended, thousands of Loyalists chose to leave their homes for a new life in British North America (Canada). As a civil war, the Revolution attempted to dissolve existing community bonds. But the Hudson Valley Loyalists show that many relationships endured despite the conflict, and that instead these social webs remained central to how they found their way in the postwar British Empire. They settled near one another in exile, assisted each other when applying for postwar compensation, shared similar political philosophies in provincial politics, maintained contact with family in New York, and even intermarried. Individual relationships and community were central to how the Hudson Valley Loyalists rebuilt their lives after a violent civil war. In exile, they created a social web consisting of Loyalists, their children, American citizens, and Late Loyalists, that bound them for several generations.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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.

Study designObservational
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
Published2023
Admission routes1
Has abstractyes

Explore more

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