Orality, documentary, intertextual performance and discursive practices: A reading of Ye Wonz Maibel (Deluge) 1997 by Salem Mekuria
Bibliographic record
Abstract
Abstract This article offers a reading of Salem Mekuria’s Ye Wonz Maibel (Deluge), a documentary on the Red Terror in Ethiopia under Mengistu Haile Mariam. Mekuria’s film critiques notions of objective and scientific truth on which patriarchal nation states and revolutionary rhetoric often depend. Mekuria does this by using a genre most associated with objectivity and truth – the documentary. Mekuria uses the film as an avenue to get herself and her subjects to actively perform their thinking through of the traumatic events. The process of active introspection allows Mekuria and her subjects to question official accounts of the events. In presenting her subjects’ voices Mekuria challenges the binary victim/oppressor using the notion of the African palaver, and other oral traditions such as sem-enna warq (wax and gold), a major influence in Ethiopian creative expressions. She offers Deluge as a model for participatory intervention and as a discursive and mediational performance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".