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Record W4416454206 · doi:10.1177/17506980251388318

Mnemonic naturalism: Anti-communist memory politics and multiculturalism in Canada

2025· article· en· W4416454206 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMemory Studies · 2025
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsMemorial University of NewfoundlandUniversity of Calgary
Fundersnot available
KeywordsMnemonicCommunismPoliticsMulticulturalismIdentity (music)Collective memoryImmigrationCultural memory

Abstract

fetched live from OpenAlex

Since the fall of the Berlin Wall, debates on how to remember the communist past have gained prominence, focusing on symbolic, moral, and mnemonic capitals. Aligning with an “international current” of anti-communist commemoration, Canada’s Memorial to the Victims of Communism extends these debates to a country with no history of state-led communism. Using frameworks in cultural sociology and memory studies, this article analyzes the Memorial to the Victims of Communism’s “living” digital archive to examine its socio-political work. Our findings reveal that—unlike in Europe, where mnemonic capital often rewrites national narratives—the Memorial to the Victims of Communism redistributes mnemonic capital along cultural lines and reinforces Canadian national identity through disputes over name, design, and location. While Conservatives sought to embed anti-communism into Canadian identity, the Liberal iteration universalizes victimhood through an aestheticized logic we call mnemonic naturalism. This memorial reflects broader tensions in Canadian multiculturalism, consolidating symbolic capital while erasing historical complexity and diverse immigrant experiences.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.038
GPT teacher head0.329
Teacher spread0.291 · 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