Within Double Restraint: The Dialectics & Aesthetics of Erotic [Re]presentation in African Cinema
Bibliographic record
Abstract
Glitter, ink & collage on found medical illustration paper.© Wangechi Mutu.Photo credit: National Galleries of Scotland Kenyan visual artist Wangechi Mutu has been my favorite artist since my teenage years.I had the pleasure of finally experiencing her artworks during Spring 2023 in New York City at the New Museum's comprehensive exhibition named "Wangechi Mutu: Intertwined" covering her entire prolific career.Histology of the Different Classes of Uterine Tumors brings together a mix of found imagery and materials, effortlessly merging cut-outs from pornographic magazines with glitter, fake fur and a nineteenth-century medical folio illustrating diseases of the female sexual organs.By slicing, cutting, and reassembling, Mutu morphs them into captivating female faces that simultaneously seduce and repulse.The mask-like figures allude to systems of classification and control and provoke us to question the role of established modes of representation of the African female body that is built into our visual culture.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.037 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".