Ruttier for an Athlete: A Reflection on Dionne Brand’s <i>A Map to the Door of No Return</i>
Bibliographic record
Abstract
This reflection considers the ways Dionne Brand’s conceptualizations of the Black body in Map to the Door of No Return reveal its liberatory potentialities. By grouping athleticism with other forms of artistry, Brand’s consideration of the sporting body suggests its possibilities in creative and intellectual projects. I use the conceptual tools provided in Map to consider American gymnast Simone Biles’ actions in the 2020 Olympics as one of these sites, moments, and movements of possibility. Reading her experiences historically and metaphorically through the Door of No Return, I suggest that Biles’ refusal to compete to preserve her mental health was a powerful act of resistance and “way-finding” ( Map 44).
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.025 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.015 |
| Insufficient payload (model declined to judge) | 0.006 | 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".