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Record W2626669099 · doi:10.26522/gbuujh.v2i0.1491

Defying Notions of Nineteenth Century Masculine Honour in the War of 1812: The Case of the American Burning of Newark, December 1813

2017· article· en· W2626669099 on OpenAlexaffvenue
Amanda Balyk

Bibliographic record

Venuethe general brock university Undergraduate journal of history · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsBrock University
Fundersnot available
KeywordsHonourSpanish Civil WarHistoryState (computer science)LawGeorge (robot)MasculinityAncient historyClassicsSociologyPolitical scienceArchaeologyGender studiesArt history

Abstract

fetched live from OpenAlex

The Burning of Newark was a key moment in the War of 1812 that exemplifies the viciousness of war and is often described as an atrocity with intense repercussions for both sides. Historians have discussed the burning of Newark and its implications but this paper sheds new light on the topic by evaluating how the burning of Newark represents a direct defiance of masculine honour as it was expected from soldiers during the war. By evaluating communications between American General George McClure and American Secretary of State John Armstrong it becomes clear that when their own masculine honour is questioned, it became critical for them to retaliate and defend their own honour. Their defense shows that there is a clear line in war that should not be crossed to maintain one’s honour, and when it is crossed it is essential to defend their actions and thereby their honour. This paper further evaluates war claim losses to reveal who was affected by the burning, what was lost and what this means for McClure in his defiance of masculine honour.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.022
GPT teacher head0.260
Teacher spread0.239 · 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 designQualitative
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
Published2017
Admission routes2
Has abstractyes

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