Home in the Dharma: Transgender Buddhists on the West Coast of the U.S. and Canada, 1998-2019
Bibliographic record
Abstract
Research on LGBTQ+ people and religion focuses on how religion has done harm. This violence is vital to recognize. But as a result, histories of how religion has benefitted transgender people are silenced. I will respond to this lack of scholarship on trans and queer religious history. I will analyze how transgender Buddhists on the West Coast of the U.S. and Canada negotiated gender identity with religion between 1998 and 2019. What factors led these individuals to Buddhism in this place and time? What aspects of the religion did they find (un)appealing? How did differences of identity—race, age, (dis)ability—affect how they related to and accessed Buddhism? I will add to the small but growing body of scholarship on trans religious history. In a broader context, this project continues the urgent work of decolonizing the cis-centric academic landscape, bringing trans epistemologies and subjectivities to the fore.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".