Oh de Laval : Konsten att appropriera konst
Bibliographic record
Abstract
Denna uppsats handlar om den samtida konstnären Oh de Laval och utforskar med en semiotiskt förankrad analysmetod appropriering i två olika konstverk och samhörigheten mellan dem. Verken som analyseras i studien är Oh de Lavals, Luncheon on the grass, 2019 och Édouard Manet, Le Déjeuner sur l'herbe, 1863 och stöds av Pablo Picasso, Le Déjeuner sur l'herbe, 1959-1962. Studiens övergripande syfte undersöker hur appropriering av konst förekommer i de olika verken som analyseras samt en juridisk synvinkel kring ämnet. Studien stöds av teoretiska ramverk som inkluderar postkoloniala och feministiska perspektiv som öppnar upp frågor om ras, jämställdhet, kulturell appropriering och kvinnors representation i konsten.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.002 |
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; both teacher heads agree on what is shown here.
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".