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Record W3012537339 · doi:10.7202/1067283ar

De la mémoire médiatique des temps de guerre. Le travail de mémoire, les cadres paratextuels et les stratégies narratives dans Effroyables jardins de Michel Quint et son adaptation cinématographique par Jean Becker

2019· article· fr· W3012537339 on OpenAlexvenueno aff
Thomas Schmidtgall

Bibliographic record

VenueEurostudia · 2019
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Dans cet article, l’auteur analyse les approches médiatiques du roman Effroyables Jardins de l’écrivain français Michel Quint (2000) et de son adaptation cinématographique (2002) par Jean Becker. L’accent est mis sur les stratégies narratives et paratextuelles utilisées pour véhiculer les ambiguïtés psychologiques de l’Histoire, présentes tant dans le roman que dans le film. L’analyse révèle une contextualisation cohérente des moyens littéraires et audiovisuels employés pour déconstruire l’idée d’une vision simpliste de la Deuxième Guerre mondiale et du temps de l’occupation allemande en France. L’auteur démontre que dans le cas du roman et du film, il s’agit de véritables lieux de mémoire franco-allemands construits à l’aide d’une imbrication unique d’événements narratifs et d’éléments intermédiaux, ainsi qu’une constellation sophistiquée de personnages et de ruptures temporelles.

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: none
Teacher disagreement score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.080
GPT teacher head0.303
Teacher spread0.223 · 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
Published2019
Admission routes1
Has abstractyes

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