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Record W6948516219 · doi:10.51644/xtcg9341

“It Was Like a Dream”: War Pilgrimages in the Canadian War Museum’s Collections

2024· article· fr· W6948516219 on OpenAlexvenueaboutno aff

Bibliographic record

VenueCanadian military history · 2024
Typearticle
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLiminalityPilgrimEthnographyCold warWorld War IIFirst world war

Abstract

fetched live from OpenAlex

This article uses material culture and oral histories held by the Canadian War Museum to explore war-related pilgrimages undertaken by veterans and their loved ones. The artwork, scrapbooks, mementos and recorded interviews reveal how meaningful pilgrimages can be for their participants. These are emotional or spiritual journeys as much as they are temporal ones. A pilgrim travels to a liminal space where the past appears closer and the dead are not beyond the reach of the living, and is transformed by it. Cet article utilise la matérielle ethnographique et les histoires orales détenues par le Musée canadien de la guerre pour explorer les pèlerinages liés à la guerre entrepris par les anciens combattants et leurs proches. Les oeuvres d’art, les albums de coupures, les souvenirs et les entretiens enregistrés révèlent à quel point les pèlerinages peuvent être significatifs pour leurs participants. Ils s’agissent de voyages émotionnels ou spirituels autant que temporels. Un pèlerin voyage vers un espace liminal où le passé semble plus proche et où les morts ne sont pas hors de portée des vivants et est transformés par eux.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.439

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.007
Science and technology studies0.0380.019
Scholarly communication0.0080.003
Open science0.0020.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.011
GPT teacher head0.200
Teacher spread0.188 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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