Bibliographic record
Abstract
The term ‘rapid-onset gender dysphoria’ (ROGD) was coined in 2016 to describe an alleged epidemic of youth coming out as trans ‘out of the blue’ due to social contagion and mental illness. The term reflects a deliberate attempt to weaponise scientific-sounding language to dismiss mounting empirical evidence of the benefits of transition. This article offers an introduction to the theory of ROGD and its history, presents a detailed critique of the empirical and theoretical claims associated with the theory, and highlights structural concerns with the ROGD discourse. The article argues that claims associated with ROGD, including assertions of declining mental health and degrading familial relationships following coming out, are best explained by the leading ROGD study’s recruitment of parents from transantagonistic websites against a background of growing visibility and social acceptance of trans people. ROGD theory is best understood as an attempt to circumvent existing research demonstrating the importance of gender affirmation, relying on scientific-sounding language to achieve respectability.
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 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 | 0.021 | 0.107 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.008 | 0.007 |
| Research integrity | 0.055 | 0.064 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".