Open worlds: An examination of digital accounts of gender and sexual identity development through the use of tabletop role-playing games among LGBTQ2S+ youth and young adults
Bibliographic record
Abstract
Gender and sexual identity development (GSID) are formative tasks of adolescence and young adulthood. For LGBTQ2S+ individuals, these processes may be complicated by issues of safety, support, and access to resources. A potential avenue for identity experimentation is tabletop role-playing games (TRPGs), cooperative narrative games wherein players adopt fictional personas and describe their actions within a fantasy setting arbitrated by a facilitator. Previous studies provide indications of the significance of TRPGs to GSID but have generally been limited to small sample sizes and/or specific demographic subgroups that lack a specific inclusion of LGBTQ2S+ youth within their samples. The current study sought to address these gaps and investigate the role of TRPGs to GSID among LGBTQ2S+ individuals during adolescence and young adulthood by generating and analyzing a digital ethnography composed of anonymous online public posts ( N = 211) across four social media platforms authored by current self-identified LGBTQ2S+ youth and young adults, or self-identified LGBTQ2S+ adults retroactively reflecting on their youth and/or young adulthood ( N = 199). Thematic analysis revealed a range of themes highlighting the significance of TRPGs to GSID organized under five overarching categories: (a) Identity Expression, Exploration, and Experimentation through Role-Play; (b) Navigating Safety and Visibility; (c) Enactment and Embodiment of Possibility through Fantasy; (d) Agency, Power, and Resistance; and (e) Personal Significance and Impact to Life and Well-Being.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".