Who Counts as Trans? A Critical Discourse Analysis of Trans Tumblr Posts
Bibliographic record
Abstract
Internet and social media sites have long served as a rich form of community-building and knowledge exchange within transgender communities. In particular, Tumblr has become a popular site among trans youth in recent years. Paralleling changes in medical and mainstream societal understandings of what it means to be transgender, trans Tumblr users have engaged in dialogue and debate about the definitions and limits of trans identity. While research has established the potential for positive identity-formation among LGBTQ+ youth on Tumblr, it is also important to consider how online trans communities may re-inscribe hegemonic narratives in addition to disrupting dominant discourses and ideologies. Using a critical discourse analysis of Tumblr posts, this research analyses how trans Tumblr users define “who counts as trans,” including how users define gender dysphoria and its relationship to trans identities. Our findings provide critical insight into how trans communities define the boundaries of their identities in a struggle for visibility, resources, and respect.
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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 | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".