Bibliographic record
Abstract
Cet article étudie le travail de l’artiste Kapwani Kiwanga (née au Canada en 1978 et vivant à Paris) qui combine de manière innovante des techniques issues des arts visuels, de la performance et des sciences sociales. Je m’intéresse tout particulièrement à la performance de Kiwanga intitulée Les Manuscrits de l’espace profond (The Deep Space Scrolls), qui met en jeu les concepts de l’humain et de l’extraterrestre à travers une approche spéculative de l’histoire africaine. Je soutiendrai qu’en repensant les histoires de l’exploitation et de l’oppression en Afrique, Kiwanga évite la voie facile — c’est-à-dire l’affirmation d’un humanisme sclérosé — et s’embarque au contraire pour un voyage vers l’extraterrestre et l’inconnu. Tout en portant une grande attention aux détails de la performance de Kiwanga, je postulerai que son travail ne peut être perçu de manière adéquate qu’en prenant en compte des discours théoriques multiples et distincts, allant de l’Afro-futurisme au réalisme spéculatif et à l’Afro-pessimisme.
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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.029 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 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; 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".