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Record W2095540767 · doi:10.3917/top.099.0115

A qui appartient la violence ?

2007· article· fr· W2095540767 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTopique · 2007
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsCanadian Institute of Mining, Metallurgy and Petroleum
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Partant de l’évocation de scènes historiques gravées en nous sur le registre de l’onirique, de l’imaginaire ambiant ou encore du trauma, (par exemple, la Grande Guerre, le 11 septembre, Abou Ghraib, etc.), le texte cherche à dégager ce qui constituerait la spécificité d’un théâtre récent de la violence et de certaines de ses voies de frayage. Voies de frayage inédites jusqu’à notre époque, et dont on peut se demander si elles ne contaminent pas le mode du penser contemporain, en contribuant de surcroît à produire une dé-signification de la violence agie, jusque dans le langage du sexuel. Prenant appui notamment sur l’œuvre de Jean Baudrillard, on posera la question de l’emprise du simulacre dans la culture du tournant du xxie siècle et ses impacts sur les processus inconscients. La différenciation, qui semble de plus en plus ténue, entre réalité formelle historiquement advenue, et réalité virtuelle, et « la précession de la réalité par le simulacre » pourraient-elles aller jusqu’à induire chez certains sujets une collusion entre les espaces intrapsychiques de la mise en pensée ?

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.886
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.005

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 head0.029
GPT teacher head0.406
Teacher spread0.376 · 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