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Record W7015666439

Theme and Subject Matter in Francis Parkmanâs The Old Régime in Canada

2014· article· en· W7015666439 on OpenAlexaboutno aff

Bibliographic record

VenueReview of International American Studies (International American Studies Association) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyColonialismTheme (computing)PoliticsCONTESTSubject (documents)NarrativeRomance
DOInot available

Abstract

fetched live from OpenAlex

This paper examines the failure of France to establish the basis of a well-regulated political community in North America as conveyed by the American historian Francis Parkman in Part Four of his History of France and England in North America, entitled The Old Rgime in Canada (1874).Parkman's choice of theme and subject matter for his History points to differences between the English and French settlements, which portray, as has been suggested, 'the struggle between France and England as a heroic contest between rival civilizations with wilderness as a modifying force' (Jacobs, 2001: 582).This struggle and these differences reflect a deep-seated cultural and political bias against colonial France on the part of New England historians that stretch as far back as Joseph Dennie's Portfolio and Edmund Burke's Reflections on the Revolution in France (1790).It is my contention that Part Four of Parkman's History, informed by the 'Teutonic germ' commonly associated with the historiography of New England's nineteenth-century Romantic or literary historians, provides us with an account of the colonization of New France which sheds some light on the colonial beginnings of New England as well.Not infrequently, in fact, Parkman's historical narrative on New France is juxtaposed with that of New England, one providing a sort of backdrop for the cultural and political make-up of the other.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.010
GPT teacher head0.282
Teacher spread0.272 · 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 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
Published2014
Admission routes1
Has abstractyes

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