Bibliographic record
Abstract
Abstract Scottish-Barbadian artist Alberta Whittle continues to develop a rich, urgent, and far-ranging creative practice that combines elements of installation, film, sculpture, written word, and performance. Her work is preoccupied with the reverberating afterlives of slavery and colonialism, with our relationship to the natural world and to the imminence of environmental catastrophe, with the dynamics of kinship and intergenerational testimony, and with the radical possibilities that reside in expressions of care and compassion, for self and others. This article considers a recent digital video work by Whittle, between a whisper and a cry (2019). In her video, Whittle approaches the shifting waters of the Atlantic Ocean in part as a fluid repository or archive for the traumas of the Middle Passage. Responding particularly to influential critical formulations found in the work of Christina Sharpe, Whittle also explores how the wake left behind by such violent histories continues to buffet the Caribbean, exposing the region and those who live there disproportionately to the intensifying effects of extreme weather. Against a backdrop of accelerating ecological crisis, Whittle's work urges us to consider a worsening climate in which forms of antiblackness flow from past to present to uncertain future, but, crucially, she also asks how this storm might potentially be weathered.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.480 | 0.052 |
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".