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Speaking about the War of 1812: Reinterpreting History in the Rhetoric Surrounding Canada’s Inter-War Diplomacy (1919–1939)

2014· article· en· W2537482004 on OpenAlexaffabout
Hector Mackenzie

Bibliographic record

VenueLondon Journal of Canadian Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsGlobal Affairs Canada
Fundersnot available
KeywordsRhetoricWorld War IIDiplomacyLawPolitical scienceNegotiationInternational relationsSpanish Civil WarHarmony (color)DenialConciliationSociologyEconomic historyArbitrationHistoryPolitics

Abstract

fetched live from OpenAlex

A remarkable feature of Canada’s external relations in the years between the two world wars of the twentieth century is the extent to which Canada’s conduct and speeches by its representatives on international affairs were dominated by imagery of North American harmony. Past clashes, most notably the War of 1812, or simply differences of views were forgotten or overlooked in the construction of a myth that served to justify inaction and the denial of commitments in imperial and world affairs. An aloof, unhelpful stance internationally was depicted more positively as a worthy example of peaceful attitudes and conduct. Thus, the inter-war period was dominated by rhetoric about ‘the longest undefended border in the world,’ ‘[more than a] century of peace in North America,’ and the contrast between the ‘New World’ and the ‘Old World’ in world affairs. No Canadian speech in an international forum seemed complete without some variation on these themes and without an admonition to Europeans and other miscreants to settle disputes by conciliation, negotiation and arbitration – rather than resort to war – as was the tradition in relations between Canada and the United States. This paper deals with the development, application and effect in the inter-war period of the lessons supposedly drawn from the experience and especially the aftermath of the War of 1812.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
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 head0.031
GPT teacher head0.269
Teacher spread0.238 · 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
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
Published2014
Admission routes2
Has abstractyes

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