Bibliographic record
Abstract
Thinkers heavily indebted to Foucault—such as Wendy Brown, Judith Butler, Jodi Melamed and Jasbir Puar—are at the fore of a contemporary interrogation of queerness and racialized empire. This paper critically surveys this terrain, differentiates several strands of it, and attempts a theoretical reframing such that we may be better equipped to gain new vantage on the central problematic. I argue that the current conviviality of queerness and empire is best understood not only through a univocal ‘homonationist’ lens, but also requires situating in the context of multiple languages of civilizational superiority and liberal tolerance. In particular, it requires the deployment of arguments about the ‘benchmark of civilization,’ in which whole societies are ranked along a unilinear trajectory of development according to standards set by the most powerful among them. One relatively recent addition to the criteria of civilizational adjudication is the capacity of societies to ‘tolerate’ new forms of societal difference. In this case, I argue, the most important of these are the strange pairing of sexual and religious dispositifs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.081 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".