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Record W2553516574 · doi:10.4000/caliban.962

"I can’t! I can’t! I can’t!" : un cri, un coup de feu "a shout and a shot"

2015· article· fr· W2553516574 on OpenAlexaboutno aff
Liliane Louvel

Bibliographic record

VenueCaliban · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsConfusionAppealShot (pellet)Character (mathematics)HistoryArt historyArtMedia studiesVisual artsSociologyPsychoanalysisPsychologyLawPolitical science

Abstract

fetched live from OpenAlex

This paper will try to show how the book purports to be digging for the past, aiming at uncovering and recovering trauma, both collective and individual, thanks to recapturing the past for a character, for a reader, for a nation. The Wars, a novel by Timothy Findley, tries to make sense for the narrator but also for the reader of a founding image which opens the book and of other allegedly material images, photographs, interviews, archives. Robert Ross, a Canadian soldier who held a controversial role in the first World War, the war to end all wars, stands at the centre of this memorial reconstruction. Photographs, as described in the text, give rise to ekphraseis which often appeal to the reader’s sensitivity thanks to a detail which might correspond to what Roland Barthes described as the punctum. That is the sharp point which shoots from the photograph and pierces the ordinariness of the gaze, the studium. It leaves the horizontal plane of the image and rises up. It is the point of exchange between reception and emission and it introduces confusion in the spectator’s place. This is when image comes under view and when the traumatic symptom pierces the calm of everyday life with the eruption of the violence of an inhuman collective and personal past.

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 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)0.000
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.067
GPT teacher head0.275
Teacher spread0.208 · 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 teacher head, not a consensus.

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
Published2015
Admission routes1
Has abstractyes

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