Intense/obsessional interests in children with gender dysphoria: a cross-validation study using the Teacher’s Report Form
Bibliographic record
Abstract
OBJECTIVE: This study assessed whether children clinically referred for gender dysphoria (GD) show symptoms that overlap with Autism Spectrum Disorder (ASD). Circumscribed preoccupations/intense interests and repetitive behaviors were considered as overlapping symptoms expressed in both GD and ASD. METHODS: To assess these constructs, we examined Items 9 and 66 on the Teacher's Report Form (TRF), which measure obsessions and compulsions, respectively. RESULTS: For Item 9, gender-referred children (n = 386) were significantly elevated compared to the referred (n = 965) and non-referred children (n = 965) from the TRF standardization sample. For Item 66, gender-referred children were elevated in comparison to the non-referred children, but not the referred children. CONCLUSIONS: These findings provided cross-validation of a previous study in which the same patterns were found using the Child Behavior Checklist (Vanderlaan et al. in J Sex Res 52:213-19, 2015). We discuss possible developmental pathways between GD and ASD, including a consideration of the principle of equifinality.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".