Transnational Queer Theory and Unfolding Terrorisms: <em>Terrorist Assemblages: Homonationalism in Queer Times</em> by Jasbir K. Paur
Bibliographic record
Abstract
Queer theory has always been attentive to often undertheorized relations between sexuality and cultural citizenship. Recently, much of the most exciting queer scholarhsip has directed its atetntion toward an analysis of spaces outside of the United States and beyond the West, focusing in particular on transnational communities affected by ever-expanding global capital and imperialism. In an issue of Social Text (“What’s Queer about Queer Studies Now?”), the editors suggest that a reinvigorated framework “insists on a broadened consideration of the late-twentieth-century global crises that have configured historical relations among political economies, the geopolitics of war and terror, and national manifestations of sexual, racial, and gendered hierarchies.”1 In other words, a renewed queer theoretical frame must thoroughly adapt to and expand upon the specific ways in which counterterrorism, mass consumerist culture, and battles for legal recognition have compartmentalized nonnormative populations. This new queer work examines new forms of subjugation across national borders and requires that we reevaluated sexual, gendered, and racial politics in a global age. What iterations of queer culture are produced at this crucial juncture? How might a range of performance practices contest, negotiate, articualte, and heighten these iterations?
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.032 |
| Scholarly communication | 0.011 | 0.017 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| 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".