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Record W4381187032 · doi:10.3917/gmcc.290.0037

Tensions mémorielles Empire/Canada/Québec à travers la mise en place des monuments aux morts québécois dans l’Entre-deux-guerres

2023· article· fr· W4381187032 on OpenAlexaffabout
Mourad Djebabla

Bibliographic record

VenueGuerres mondiales et conflits contemporains · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsRoyal Military College Saint-Jean
Fundersnot available
KeywordsHumanitiesArtPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La Première Guerre mondiale au Canada est un événement porteur tant d’union, autour de l’action des hommes au front, que de désunion avec les tensions nées au pays autour de l’ampleur de l’effort de guerre. La guerre terminée, le souvenir des combattants disparus, dont les corps demeurent outre-mer, fait naître un besoin de matérialisation de l’hommage à rendre à leur sacrifice. À la mémoire des combattants disparus se greffe les attentes politiques des vivants qui évoluent, dans les années 1920-1930, dans une société canadienne qui se détache progressivement de la tutelle impériale pour faire valoir une identité nationale canadienne. À travers la mobilisation pour la construction d’un monument aux morts, mais aussi par la forme choisie ou les inscriptions qui les composent, pour qui sait les décoder, il en transparait des indices du rapport de la société canadienne de l’entre-deux-guerres au sens à donner au sacrifice des combattants de 1914-1918.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.148
Threshold uncertainty score0.988

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0220.009
Scholarly communication0.0070.001
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0250.001

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 head0.036
GPT teacher head0.277
Teacher spread0.241 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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