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Record W4404861838 · doi:10.4324/9781003299721-13

Religion, Politics, and Geography in British America's Northeastern Borderlands

2024· book-chapter· en· W4404861838 on OpenAlexaboutno aff
Jacqueline Reynoso

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicReligious Tourism and Spaces
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsGeographyPolitical geographyEconomic geographyEthnologyPolitical scienceHistoryLaw

Abstract

fetched live from OpenAlex

In 1774, in the midst of revolutionary unrest, the Reverend Ezra Stiles took pen to paper to process his feelings about British America and the struggles he believed it faced. In addition to expressing his sentiments in written diary entries, he opted to produce a map. Titled “The Bloody Church,” it presented a depiction of British America’s geography that was religiously informed. At the top of the map was the British province of Quebec, a former French colony that had been incorporated into the British Empire in 1763, at the end of the Seven Years’ War. Quebec, which Stiles shaded in noticeable red ink, stood in stark contrast to the rest of British North America. Despite the fact that Stiles also distinguished New England and northern parts of the middle colonies from the southern and Chesapeake colonies, he did so in much subtler fashion. Rather than the very obvious contrast between a “bloody” red Quebec and the rest of British America, the tones differentiating the other regions were purposefully more similar in appearance, both being shades of green. Straightaway, Stiles communicated his belief that there was a plain and seemingly ominous distinction dividing British America—one rooted in religious differences. Whereas the rest of British America was defined by different Protestant institutions, Stiles labeled Quebec as a place of “Idolatry and the CHURCH of ROME.” 1

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.528
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.006
GPT teacher head0.241
Teacher spread0.236 · 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.

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
Published2024
Admission routes1
Has abstractyes

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