Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.018 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".