Blackness after the End of the World: Alexis Pauline Gumbs’s Dub Ecologies
Bibliographic record
Abstract
“This is you beyond you … . After and with a multitude of small and large present apocalypses. After the end of the world as we know it. After the ways we have been knowing the world.” Alexis Pauline Gumbs, M Archive, xi “Where rhythm should be there is space.” Kodwo Eshun, More Brilliant than the Sun, 64 In an early passage from M Archive: After the End of the World (2018), the second in a triptych of experimental book-length poems, Alexis Pauline Gumbs strikingly reconsiders the afterlives of slavery in the epoch we now know as the Anthropocene: the critical black marine biologists, scientists of the dark matter under fathoms, suggest that there may be a causal relationship between the bioluminescence in the ocean and the bones of the millions of transatlantic dead … . now that the bones are there as fine as sand, the marrow like coral to itself, the magnesium and calcium has infiltrated the systems of even the lowest filter feeders. so any light that you find in the ocean right now cannot be separated from the stolen light of those we long for every morning. and I don’t need to remind you that the ocean, that place where the evolutionists and creationists all agree that life began, the source of all the salt we breathed to get here, lives within us. (11)
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.012 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".