Bibliographic record
Abstract
This article presents a conversation between Afua Cooper and Marcia Ostashewski. Cooper is a multidisciplinary artist and scholar, and a celebrated Jamaican-born Canadian historian who specializes in Caribbean studies, women’s studies, history, and Black studies. Cooper became involved in the Sunjata Project in 2019 after witnessing Lassana Diabaté share music and stories about Mande culture and history at a public library in Halifax, Nova Scotia, Canada. This conversation represented in the curated transcript below was conducted via video call in 2022, in preparation for the community-engaged research-creation project TransAtlantic Pilgrimage: African History, Poetry, and Music, a collaboration involving Cooper, Diabaté and Ostashewski. Cooper discusses how elements of the Sunjata narrative – such as the themes of exile and the overcoming of obstacles and challenges – relate to her own experiences as a dub poet and a woman of African ancestry living in Nova Scotia. Cooper also discusses the power that public performances of the Sunjata Fasa and other aspects of Mande music and culture have in promoting cross-cultural dialogue and exchange.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.008 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".