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Record W2041183613 · doi:10.7202/201091ar

Muses et musées : l’effet « tableau » de l’écriture

2006· article· fr· W2041183613 on OpenAlexvenueno aff
Claudine Potvin

Bibliographic record

VenueVoix et Images · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Résumé Cette étude interroge le rapport du textuel au visuel dans quatre recueils d'Anne-Marie Alonzo, ouvrages accompagnés de photographies ou construits autour d'une ou de plusieurs toiles. Le livre se fait image ou musée en ce qu'il accumule et montre l'excès, l'ex-centrique de toute tentative de représentation. Écrire/peindre consiste alors à trouver l'arrangement, l'événement, l'installation, le mouvement, le show permanent. Les textes d'Anne-Marie Alonzo recréent en ce sens un effet "tableau", car l'écri-vaine "expose" dans une série de salles ou galeries discontinues. Briser le cadre, le continuum traditionnel d'une certaine perspective, déconstruire. Simulacre, reproduction à l'infini, le langage y filtre précisément la lumière, subvertissant le sens et l'interprétation, parodiant le champ artistique et le corps de l'histoire qui sous-tendent la production et la réception de toute création. Il semble que la peinture soit pour cette auteure une forme d'exil textuel, une suite de fuites et de retours où s'amorcent la douleur, mais aussi le plaisir et ta séduction de l'écriture.

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)0.003
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 score0.025
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.018
Scholarly communication0.0110.004
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0240.001

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 head0.024
GPT teacher head0.289
Teacher spread0.265 · 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".

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Citations0
Published2006
Admission routes1
Has abstractyes

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