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Record W1747465542 · doi:10.7202/1008578ar

« La force, qui trace les frontières, est-elle habile à disposer des peuples 1 ? »

2012· article· fr· W1747465542 on OpenAlexaffvenueabout
Lucie Robert

Bibliographic record

VenueVoix et Images · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Parle-t-on de la même manière d’une guerre coloniale, d’une guerre civile et d’une guerre mondiale ? D’une guerre qui se déroule ici et d’une guerre qui se déroule ailleurs ? Chaque guerre a ses enjeux propres, en effet, et chacune reconfigure autrement l’espace de son origine et celui de sa résolution. Je prendrai ici pour exemple la trilogie d’André Ricard qui les aborde toutes : la guerre de Sept Ans, qui s’est soldée par l’abandon de la Nouvelle-France ; la guerre civile qu’ont failli devenir les deux rébellions de 1837 et 1838 ; la Deuxième Guerre mondiale, à laquelle se sont opposés massivement les Canadiens français, bien que des bataillons de volontaires y aient participé. Écrite et publiée sur vingt-cinq ans, la trilogie, composée de La longue marche dans les Avents, du Tréteau des apatrides et de Gens sans aveu, porte aussi en elle les marques de l’histoire contemporaine du théâtre comme celles de la démarche singulière d’un auteur dramatique peu joué et dont l’écriture conquiert progressivement son autonomie en regard de la scène. Ricard nous convie à une relecture de l’histoire du Québec, où chaque guerre reconfigure l’identité nationale.

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)0.006
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 score0.046
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0150.017
Scholarly communication0.0110.010
Open science0.0010.005
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0230.006

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 head0.018
GPT teacher head0.267
Teacher spread0.249 · 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
Published2012
Admission routes3
Has abstractyes

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