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Record W4238713829 · doi:10.1525/phr.2006.75.2.183

<scp>Telling Differences</scp>

2006· article· en· W4238713829 on OpenAlexaffabout
Elizabeth Jameson, Jeremy Mouat

Bibliographic record

VenuePacific Historical Review · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFrontierNarrativeHistoriographyNational identityComplicityIdentity (music)National IdentitiesGenealogyColonialismState (computer science)Gender studiesHistorySociologyPolitical scienceEthnologyAestheticsLawLiteraturePoliticsArt

Abstract

fetched live from OpenAlex

This article describes the competing meanings that U.S. and Canadian historians have assigned to their common borders and respective Wests. It compares how frontier,region, and a common border have shaped U.S. and Canadian histories and identities,as well as the complicity of historiography in telling the differences. Assuming that neither the nation state nor national identity is fixed or absolute, it argues that similarities and differences in how each country incorporated its West led to specific understandings of national origins, colonial relationships, and distinct notions of frontier and region. These distinctions shaped the ways each nation legitimized its claim to the continent and are reflected in historical narratives that have functioned as respective national creation stories. The ways that Canadians and Americans have understood their pasts and common border also illuminate the meanings of national identity in our present age.

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)0.002
metaresearch head score (Gemma)0.007
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.100
Threshold uncertainty score0.231

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0110.012
Scholarly communication0.0090.005
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0190.002

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 head0.025
GPT teacher head0.242
Teacher spread0.217 · 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

Citations7
Published2006
Admission routes2
Has abstractyes

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