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Record W2741053802 · doi:10.3917/e.rfea.145.0224

Theme and Subject Matter in Francis Parkman’s The Old Régime in Canada

2016· article· en· W2741053802 on OpenAlexaboutno aff
Edgardo Medeiros da Silva

Bibliographic record

VenueRevue française d’études américaines · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismPoliticsTheme (computing)Context (archaeology)HistoryNarrativeSubject (documents)Power (physics)ClassicsSociologyLawLiteraturePolitical scienceArtArchaeology

Abstract

fetched live from OpenAlex

Edgardo Medeiros da Silva School of Social and Political Sciences, University of Lisbon, University of Lisbon Centre for English Studies‘There are no political panaceas, except in the imagination of political quacks’. These are the words used by the American historian Francis Parkman (1823–1893) to suggest that the English and French settlements on the North American continent had been quite different from their onset and were quite possibly bound to remain as such in years to come. His History of France and England in North America (1865–1892) provides us with a historical account of the colonization of New France which sheds some light on the colonial beginnings of New England as well. Like all Romantic or literary historians of the time, Parkman had a story to tell, novelistic in style and all-encompassing in theme and subject matter, which in this particular case is as much about France’s status as a colonial power as about England’s. Drawing on part four of his History, entitled the Old Régime in Canada (1874), this paper examines the failure of France to establish the basis of a well-regulated political community in North America in the context of the Anglo-French rivalry for the control of that continent. It aims to determine to what extent Parkman’s historical narrative on New France also gives us an insight into New England’s history; what does it tell us about the political culture of both colonies? and what vision, if any, of America/of the Americas does it offer us?

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.154
Threshold uncertainty score0.981

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0290.019
Scholarly communication0.0110.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.199
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), 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
Published2016
Admission routes1
Has abstractyes

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