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Record W4401812224 · doi:10.5206/mf.v9i1.20550

Témoignage et mémoire dans Johnny chien méchant (Emmanuel Dongala) et Les Sirènes de Bagdad (Yasmina Khadra)

2024· article· fr· W4401812224 on OpenAlexvenueno aff
Edouard Djob li kana

Bibliographic record

VenueMouvances Francophones · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Enfants enrôlés aux conflits, filles et femmes violées et abattues innocemment, la mémoire des victimes des guerres civiles postcoloniales est souvent réduite au secret. Elle trouve cependant dans les romans un lieu d’expression de sa multiformité. Ce travail fournit une vue globale de la construction mémorielle des guerres civiles irakienne (la guerre civile de 2003) et congolaise (la guerre civile de 1997) dans l’espace fictionnel d’Emmanuel Dongala et de Yasmina Khadra. Il analyse les œuvres Johnny chien méchant (2002) et Les Sirènes de Bagdad (2006) en montrant comment la fiction dit la violence de l’histoire. Le travail s’appuie sur les palimpsestes, les transpositions et les représentations propres à la fiction littéraire pour montrer comment Dongala et Khadra mettent au jour une véritable poétique de l’horreur et du traumatisme dont la figure centrale est celle de la victime.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.011
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.287
Teacher spread0.267 · 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
Published2024
Admission routes1
Has abstractyes

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