Bibliographic record
Abstract
This work focuses on the former Black Panther, Assata Shakur, and her exile in Cuba. It probes Shakur’s identification with the maroon, or escaped slave, to examine how the experience of exile creates a sense of rootlessness and alienation from national identity, and how memory can come to reshape one’s inclusion within various “imagined communities.” Shakur occupies a liminal space, a borderlands existence, between the two nations in which she has lived. I trace her memories of the terror she experienced in the U.S, the ethnocentrism inherent in the act of becoming American, and how her imagination has been shaped by her experience in the borderlands. Because I locate Shakur’s identity in a borderlands framework, this work is a critical departure from nation-state centered histories that do violence to smaller histories that do not fit into a larger nationalist narrative. By centering my work around a borderlands figure that defies national identity by grounding her identity in a history of transnational Black resistance, I expose the violence of nation based histories, and provide a way to reimagine struggles for racial justice that move beyond the boundaries of nation-states to encompass an array of transnational actors.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.021 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".