Bones without Flesh and (Trans)Gender without Bodies: Querying Desires for Trans Historicity
Bibliographic record
Abstract
Abstract In 2011, a 5,000-year-old “male” skeleton buried in a “female” way was discovered by an archaeological team just outside of modern-day Prague. This article queries the impulse to name such a discovery as evidence of transgender identity, and bodies, in an increasingly ancient past. To do so, it takes up the work of Denise Ferreira da Silva, Sylvia Wynter, and Hortense Spillers as a means to push back against the impetus to name such discoveries “transgender” in order to shore up the legitimacy of contemporary trans identity. Each of these three thinkers offers a different vantage point for rethinking such naming practices that push the reader to consider how desires to name and place “transgender” in a distant past papers over the violence of plantation slavery, global imperialism, and the Enlightenment's shift toward scientific reason. This article argues not that such anthropological discoveries should not be considered transgender, but rather that the desire for them to be, or become, transgender does not legitimate contemporary transgender identity, and may instead treat certain iterations of transness as spatially and temporally universal.
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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 | 0.005 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".