Zadokeli: Efo Sela x Mawuli Adzei x Elikplim Akorli
Bibliographic record
Abstract
The word “zadokeli” in Ewe, means “eclipse of the sun”. During the global pandemic in 2020, 6 eclipses occurred within the year including 4 lunar eclipses across the world, with one total and one annular solar eclipse in addition. The first eclipse of 2020 occurred between 10th and 11th January, foreshadowing a dark year ahead. In the Ewe worldview, an eclipse, whether solar or lunar, is of deep spiritual significance. Thus, in the event of an eclipse, traditional priests, priestesses and diviners seek answers and offer prayers. These holders of esoteric knowledge engage with the divinities to ‘restore’ normal cosmic order through propitiation rites. Adjei’s role here is as an artist drawing links between the 2020 eclipse and the rise in anti-Black violence and injustice, and positions him among the far-seeing priests and diviners who seek answers in an effort to ‘restore’ both cosmic and social order. Thus, through his new collection of paintings, Sela Adjei visually expands the discussion of analogizing the Black predicament with a recurring image of a gloomy eclipse; Zadokeli is the same theme that animates Mawuli Adzei’s new poetry anthology bearing the same title. The book was edited by G. Edzordzi Agbozo, Ph.D. (University of North Carolina Wilmington, USA) and Niklas Wolf, M.A. (University of Zurich). The contributing scholars include: Asana Greenstreet, M.A. (Royal College of Art), Matthew Francis Rarey, Ph.D. (Oberlin, Ohio, USA), Elikplim Akorli, M.Phil, Damawa L. Jallah, Alan Dunyo Avorgbedor, Ph.D. (McGill University’s Peter Guo-hua Fu School of Architecture), kwabena agyare yeboah (University of California, Santa Barbara), Kate Wand, MFA, Nii Kotei Nikoi, Ph.D. (College of Wooster, Ohio, U.S.A.), and Fidelia Ankomah, M.Phil (University of Cape Coast, Ghana).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".