A Trans, Autistic, and Neurogender Jewish Monster: The Story of the Golem
Bibliographic record
Abstract
This critical commentary revisits the Jewish story of the Golem and reads it as a transgender text. Some say that the Golem inspired Mary Shelley's Frankenstein, a story famously interpreted by Susan Stryker as an allegory for her own trans experience: living on the edge of society, her humanity debated, defined by a morally questionable medical establishment. But there are important dierences between Frankenstein and the Golem. The Golem is brought to life through language, particularly the Hebrew word ‘emet,’ and is an animated clay tasked with protecting Jewish marginalized communities. Today, questions of language and truth are at the center of many debates regarding the validity and nature of transgender people. The concept of protecting marginalized communities, even while being rejected from them, is also painfully relevant. Unlike Frankenstein, though, the Golem is nonverbal, which is linked to autism. Thus, I argue that a neurogender analysis of their story that accounts for both gender and neurodivergence is critical. This reading focuses on these points of relation and what they may bring to light.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".