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Record W2552830057 · doi:10.4000/eccs.663

Re-inscribing a Monument: Vimy in the Canadian Consciousness

2016· article· en· W2552830057 on OpenAlexaffabout
Joan Coutu

Bibliographic record

VenueÉtudes canadiennes / Canadian Studies · 2016
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsCanadian Journal of Administrative SciencesUniversity of Waterloo
Fundersnot available
KeywordsConsciousnessBattlefieldState (computer science)AestheticsOrder (exchange)Collective memorySpace (punctuation)RidgeIntervention (counseling)National consciousnessSociologyHistoryLawPolitical scienceArtEpistemologyPsychologyCartographyGeographyPhilosophyComputer sciencePoliticsAncient history

Abstract

fetched live from OpenAlex

This essay focuses on the efficacy of Walter Allward’s immense Canadian National Vimy Memorial built at Vimy Ridge in France and unveiled in 1936. Like other battlefield memorials located far from their primary audiences, the Vimy Memorial must deliberately intervene into Canadian consciousness in order to remain relevant. Drawing on Pierre Nora’s notion of “successive presents,” I examine the means by which that intervention occurs over time and how, also exacerbated by the often great distance between monument and audience, the monument functions as a heterotopic space. The essay also addresses types of memory and consciousness – state, national, collective, and individual – and their inherent malleability, and the points at which they might become fused.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.533

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0370.046
Scholarly communication0.0110.005
Open science0.0020.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.000

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 head0.064
GPT teacher head0.303
Teacher spread0.239 · 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 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

Citations1
Published2016
Admission routes2
Has abstractyes

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Same venueÉtudes canadiennes / Canadian StudiesSame topicMemory, Trauma, and CommemorationFrench-language works237,207