MétaCan
Menu
Back to cohort

FAIRE DE SON HISTOIRE UNE BOUCLE (NOIRE): WAYS OF LOOKING AT TRISTAN TZARA

2009· article· en· W1943607274 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArt History · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArtPortraitNationalismPower (physics)Art historyPoliticsClichéDepictionLiteratureLaw

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.043
GPT teacher head0.213
Teacher spread0.170 · 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