Bodies, Revolutions, and Magic: Cultural Nationalism and Racial Fetishism
Bibliographic record
Abstract
We might consider race in accordance with Judith Butler's useful conception of gender as constructed in terms of a corporeal style; in this sense the racialized body is also made meaningful through "the legacy of sedimented acts rather than a predetermined or foreclosed structure, essence or fact, whether natural, cultural, or linguistic". The particular ways in which we perceive, interpret, and value racial difference in the United States today can be understood as a kind of 'performance' that takes its significance from not one but, in fact, many layers of social meaning that history has deposited on bodies. Some of these meanings are determined by racist ideologies disguised as "natural" or "biological" hierarchies of difference, "punitively regulated cultural fictions that are alternately embodied and disguised under duress"; others present somewhat more optimistic possibilities for racial performance.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.050 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".