WHERE HAVE ALL THE REVOLUTIONARIES GONE? HUMAN RIGHTS AND THE REINVENTION OF REVOLUTION IN REBIYA KADEER’S DRAGON FIGHTER
Bibliographic record
Abstract
For five and half years, Rebiya Kadeer was imprisoned as a political prisoner in China and was finally released in 2005 after Amnesty International campaigned for her release. Today, she now campaigns as a human rights activist against what many Uyghurs consider Chinese occupation of their homeland, Xinjiang. Although many organizationswork on human rights violations against the Uyghurs, Rebiya Kadeer has emerged as the primary symbol of Uyghur resistance in China, much like the Dalai Lama for Tibet.Her simultaneous position as both a human rights activist and resistance symbol offers a unique vantage point in exploring the relationship between memory, women, and nationalism. In sketching out these connections, this paper will analyze the agency and representation in the process of memory making and the gendering of resistance in relation to the life and memoir of Rebiya Kadeer. The political project of witnessing through representation offers a practical departure point for better understanding the formation of a feminine revolutionary subjectivity in contrast to the romanticized icon of the masculine, revolutionary hero. In proposing the relationship between memory, women and nationalism, this paper aims to ultimately understand whether the revolutionary subject has in effect become the human rights activist. And if this is the case, what then are the conditions for revolution, and is revolution possible within the logic of human rights discourse?
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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 | 0.000 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".