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Record W4416810661 · doi:10.37119/ojs2025.v30i3.838

Remembering Forced Forgetting: The Politics of Remembrance Day Ceremonies in Canadian Schools

2025· article· W4416810661 on OpenAlexaffvenueabout
Trevor Norris, Frank Deer

Bibliographic record

Venuein education · 2025
Typearticle
Language
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of ManitobaBrock University
Fundersnot available
KeywordsIndigenousMemorializationNational identityPoliticsGenocideIdentity (music)Residential school

Abstract

fetched live from OpenAlex

In this essay, we argue that Remembrance Day ceremonies in schools promote an inadequate conception of Canadian national identity by overlooking how Indigenous experiences reside in national remembrance. We argue that Remembrance Day observances convey the notion that war happened outside of North America, while overlooking the extent to which war and genocide occurred on this very continent and in this country as part of colonization. Our concern is that the essence of Canadian national identity is reflected in the bravery of soldiers who fought a foreign enemy, while the abuse that occurred in residential schools is often construed as an anomaly, not the ‘real’ Canada, not reflective of what it means to be Canadian. Recent discoveries of Indigenous children buried in unmarked graves at residential schools point to another example of the deaths that happened as part of colonization. This essay concludes by exploring how education may contribute to a more robust form of remembrance in which Indigenous perspectives and experiences are present. Keywords: Remembrance Day, memorialization in schools, peace education, nationalism, Canadian national identity

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.046
GPT teacher head0.376
Teacher spread0.330 · 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 designQualitative
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
Published2025
Admission routes3
Has abstractyes

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