"Corps verbal. Les humeurs du corps" dans l'oeuvre de Marisa Portolese
Bibliographic record
Abstract
dans I'oeuvre de Marisa Portolese Christine PalmidiThe acquisition of the maternal language may be understood as an illness of the return of what has been lost.It consists in making the first voice, the mother k voice, come back inside oneself--since remaining inside the maternal flesh is impossible-, and giving oneself up completely to accents all the while immediately feeding on them.Man k endless and inexhaustible past can hence be defined in relation to his mother and her voice heard earlier andfiom afar, the past simple of the maternal tongue which gives an answer to the abyss of birth.Dessiner, peindre, photographier, Bcrire au dos du pass6 pour combler l'abime qui nous s6pare de nous-m6mes.Traduire, transposer en image ce que nous avons de plus intime et de plus universel a la fois, la langue, le langage qui nous permet de communiquer, de nous ouvrir a l'autre, d'aller chercher dans I'autre I'inconnu, de tisser des liens, des espaces de rencontre.Surtout quand cette langue est teint6e d'accents multiples et qu'elle laisse sous-entendre qu'elle a visit6 plusieurs lieux du monde.C'est ce que semble faire Marisa Portolese avec sa voix, cette langue d'ici et d'ailleurs qui s'entend a travers les corps des personnages qu'elle met en scbne, les fixant dans les sels d'argent ou les pixels sur du papier photographique.Faqonner des formes, des configurations plurielles et singulibres, telle semble Stre la voie qu'elle suit, h I'instar d'un Richard Millet qui Bcrit: Je suis n6, j'ai grandi dans un grand bruissement de langues: franpais meridional, parfois du Haut-Limousin, arabe libanais, grec ancien, latin, syriaque -langues qui trks t6t me renvoybrent a moi-m&me, solitaire, grave, mais soucieux d6jh des gestes frivoles de lY6crivain.Et maintenant, quelle figure faire parmi mes semblables et les marts?"'Des allegories familiales aux portraits de femmes, Marisa Portolese interroge autant lyitalianit6, l'am6ricanit6 que la qu6b6citude, qui l'habitent, en insufflant aux moindres details des caract6ristiques propres a chacune de ses marques identitaires.L'art a cette flexibilit6, cette souplesse, cette fluidit6 de permettre h l'imaginaire d'embraser diffkrentes temporalit6s, diff6rentes identitts dans 1'6laboration d'un langage visuel universel.Dans le travail de Marisa Portolese, cette universalit6 ne tend pas estomper les particularitks Bthniques et sexuelles; au contraire, l'artiste contextualise, recr6e des interieurs familiers, dans des d6cors trbs types.Par l'utilisation de tissus aux
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".