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Record W2003660151 · doi:10.1080/17400200500532094

Racialized hegemony and nationalist mythologies: representations of war and peace in high school history textbooks, 1945–2005

2006· article· en· W2003660151 on OpenAlexaffabout
Ken Montgomery

Bibliographic record

VenueJournal of Peace Education · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNationalismHegemonyMythologySociologyNational identityNarrativeLawPower (physics)MoralityGender studiesPeace movementPolitical scienceHistoryLiteraturePolitics

Abstract

fetched live from OpenAlex

This paper examines the ways in which high school Canadian history textbooks authorized from 1945 to the present have represented national participation in wars and peace‐making/keeping operations. I explore how national mythologies of Canada as a kinder, more tolerant, or less violent national body permeate the narratives of national history textbooks, but also position Canada, in racialized terms, as a nation superior to all others and thus burdened with the fantasized responsibility to uplift implicitly inferior spaces, nations and peoples elsewhere on the planet. I illustrate that these textbooks do not simply tell the history of the modern state of Canada and its relationship to war and war‐related issues (i.e., peace‐making/keeping), but rather redundantly disseminate racialized representations of Canada as a glorious and exceptional ‘living organism’ that matures through the development of such redeeming qualities as respect for humanity, morality, compassion, heroism and tolerance. I argue that these patriotic and presumably benign representations of war and peace assist in the hegemonic maintenance of white power, privilege and governance.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.050
GPT teacher head0.373
Teacher spread0.322 · 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

Citations23
Published2006
Admission routes2
Has abstractyes

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