FAIRE DE SON HISTOIRE UNE BOUCLE (NOIRE): WAYS OF LOOKING AT TRISTAN TZARA
Bibliographic record
Abstract
A close examination of pictorial and verbal portraits of Tzara, by both himself and others (Breton, Louis Aragon, Picabia, Germaine Everling, Man Ray, Hans Arp) – as filtered in the art and texts of the dadas and their critics through adaptations of cabbalism, Tao‐inflected Africanism, spirit photography and Maurice Barrès's ponderously mystical nationalism – yields a peculiar portrait of Paris dada, and of Tristan Tzara's ethical role within it. Anti‐Semitic slurs against Tzara, used as weapons in dada power politics, while construable as a knowingly disingenuous use of cliché and caricature, raise questions of idiom. Raoul Hausmann's Mechanical Head: the Spirit of Our Time (1919) is analysed as an exemplary approach to dada portraiture, in which constellations of contradictory readymade attributes and associations, including anti‐Semitic stereotypes, configure a tragicomic array of received social constructions, revolutionary aspirations, prejudices and ambivalences that constitute individuals as social actors within and outside dada.
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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 | 0.010 | 0.014 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".