Autistic and non‐autistic transgender youth are similar in gender development and sexuality phenotypes
Bibliographic record
Abstract
Abstract Increasing rhetoric regarding the common intersection of autism and gender diversity has resulted in legislation banning autistic transgender youth from accessing standard of care supports, as well as legislative efforts banning all youth gender care in part justified by the proportional over‐occurrence of autism. Yet, no study has investigated whether autistic and non‐autistic transgender youth present fundamentally different gender‐related phenotypes. To address this gap, we extensively characterized autism, gender diversity, and sexuality among autistic and non‐autistic transgender binary youth ( N = 66, M age = 17.17, SD age = 2.12) in order to investigate similarities and/or differences in gender and sexuality phenotypes. Neither autism diagnostic status nor continuous autistic traits were significantly related to any gender or sexuality phenotypes. These findings suggest that the developmental and experiential features of gender diversity are very similar between autistic and non‐autistic transgender adolescents. Future research is needed to determine whether the similarity in profiles is maintained over time into adulthood.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".