MétaCan
Menu
Back to cohort
Record W2165513544 · doi:10.7202/1008573ar

Le discours sur la Grande Guerre

2012· article· fr· W2165513544 on OpenAlexaffvenueabout
Micheline Cambron

Bibliographic record

VenueVoix et Images · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Il est relativement peu question de la guerre dans la littérature québécoise, et encore moins de la Grande Guerre. Pourtant les volontaires et les conscrits québécois ont vécu l’expérience du champ de bataille, la boue des tranchées, les attaques au gaz. Il semble que les souvenirs de ces expériences ne se soient pas frayé de chemin jusqu’à la mémoire collective, comme si l’événement guerrier relevait de la sphère privée. Nous faisons ici l’hypothèse que, dans le discours québécois, les événements guerriers sont donnés moins comme participant de récits collectifs que comme des éléments qui témoigneraient d’une mémoire individuelle privée d’horizon général. Nous nous arrêtons à des textes de facture diverse (récits et témoignages publiés dans les journaux, poèmes, romans, récits) parus à deux moments distincts de la construction mémorielle : soit durant la guerre même, alors que, dans la contemporanéité, s’accumulent les matériaux discursifs premiers sans lesquels il n’est pas de mémoire possible, soit dans l’après-coup de la Guerre, alors que quelques textes témoignent d’un accomplissement de la mémoire qui est effacement. La nature même de la Grande Guerre et les spécificités médiatiques des témoignages livrés semblent conduire à une « dépossession des acteurs sociaux de leur pouvoir originaire de se raconter eux-mêmes » (Ricoeur), qui expliquerait en partie l’oubli et le non-dit collectif.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score0.236

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.011
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0180.002

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 head0.032
GPT teacher head0.339
Teacher spread0.307 · 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

Citations3
Published2012
Admission routes3
Has abstractyes

Explore more

Same venueVoix et ImagesSame topicMilitary, Security, and Education StudiesFrench-language works237,207