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Record W7111866162

Roll for initiative : role playing & playing a role — queer representations in D&D

2025· other· en· W7111866162 on OpenAlexaff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNarrativeQueerStorytellingIdentity (music)Character (mathematics)Sexual identityKey (lock)Human sexuality
DOInot available

Abstract

fetched live from OpenAlex

At its core, Dungeons and Dragons immerses players in a dual reality. Led by a storytelling Dungeon Master (DM), players toggle between the immediate reality of the gameplay and the fictional narrative setting of the game’s campaign. Each player creates a character through which to navigate the fictional narrative setting. For many, character creation offers a means to imagine and assemble a collection of traits that go far beyond what is permissible outside the fictional world. Working from a theatre and performance studies perspective, I explore the contours of these traits and the details of the costumes, properties, and other theatrical elements that shape the characters. More specifically, I focus on how these traits and choices connect with minoritarian gender and sexual identities outside the game. I first consider a recent play and performance, both of which feature D&D and explorations of queer identity: Qui Nguyen’s 2011 play, She Kills Monsters (SKM); and DNDQ Live’s touring (2021-present) production of Dungeons and Drag Queens (DNDQ). Both examples feature D&D gameplay in which themes of gender and sexual identity are central to their young adult characters’ identities. Grounded in the theories of Judith Butler, Jose Esteban Muñoz and Bo Ruberg, I highlight key themes and actions in these plays that suggest how D&D gaming can foster positive expressions of queer identity. In chapter three, I share data from voluntary research interviews I conducted with self-identified queer, young adult (18-30) D&D players. In these interviews I asked questions aimed at understanding the interviewees lived experiences with D&D gaming, including game performance and in-scene choices, particularly in light of consciously expressed gender and sexual identity. Using Virginia Braun and Victoria Clarke’s 2022 reflexive thematic analysis, I coded and analyzed the data to identify themes describing how players understand and navigate the dual realities at play within the game and their individual sense of identity outside the game. In light of the evidence shared in both chapters, I conclude by arguing that D&D can offer generative opportunities for members of LGBTQ2SIA+ communities to consider constructs like gender and sexual identity through their explorations in game performance.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.025
Scholarly communication0.0110.005
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.013
GPT teacher head0.221
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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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