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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".