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Record W4413346430 · doi:10.1080/15426432.2025.2547227

Queer, trans, and intersex Buddhism: implications for culturally relevant social work practice

2025· article· en· W4413346430 on OpenAlexaff
Kody Muncaster

Bibliographic record

VenueJournal of Religion & Spirituality in Social Work Social Thought · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsMental Health Research CanadaUniversity of Toronto
Fundersnot available
KeywordsBuddhismQueerSociologyGender studiesSocial workWork (physics)PsychologySocial psychologyPolitical sciencePhilosophyTheology

Abstract

fetched live from OpenAlex

The role of queer, trans, and intersex people in Buddhism can be confusing for clients and needs clarification. There is precedent for queer inclusion throughout Buddhist traditions, time periods, and cultures, though there has been a great deal of discrimination against gender and sexually diverse communities. There is room for spirituality and social work to expand its understanding of Buddhism beyond mindfulness practices and literature on queer spirituality in social work is often limited to religions that dominate Europe and North America. This article examines histories of queer, trans, and intersex people in a variety of Buddhist traditions. Using a queer Buddhist hermeneutics the article discusses stories of queer and trans bodhisattvas in Buddhist scriptures. The article also discusses tonglen (compassion meditation) and its relationship with queerness, trauma, and HIV/AIDS. The article then explores deity yoga practices for non-binary and gender fluid Buddhist beings and meditations that can be affirming to queer communities. The article ends by discussing how multi-level social work praxis can support the development of a queer-engaged Buddhism steeped in what Dean Spade (2015) calls a trickle-up social justice praxis that embodies the brahma viharas (Divine Abodes).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.052
GPT teacher head0.400
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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