Gender dysphoria/gender variance in children – diagnostic and therapeutic controversies
Bibliographic record
Abstract
Purpose: The aim of this paper is to provide a synthesis and present the current state of knowledge about the situation of children with atypical gender identity and their families.Available data pertaining to aetiology, psychopathology, and developmental paths of individuals experiencing gender dysphoria of childhood are analysed.Views: The phenomenon of atypical gender identity in adolescents and adults, in diagnostic classifications called gender identity disorder -transsexualism (ICD-10) or gender dysphoria (DSM-V), arouses interest among research communities and has been reported in the Polish and foreign literature.At the same time, much less attention is given to the very same phenomenon occurring in childhood, leaving a gap in the area of knowledge and competence potentially significant to a wider range of specialists including psychiatrists, psychotherapists, paediatricians, and social workers.Conclusions: In the context of the observation that the vast majority of gender-dysphoric (GD) children appear to no longer experience the symptoms during adolescence and adulthood, controversies surrounding diagnostic and therapeutic processes are significant.Therefore, the paper presents some important areas of assistance and stresses the need for great caution and individual approach when working with GD children and their families.Since no universal standard of care has been established so far and the discussed topic is highly emotionally charged, specialists working with GD children should carefully monitor both available literature and their own personal attitudes towards atypical gender identity and expression. Key words: gender dysphoria in children, gender variance, gender identity in
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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 | 0.011 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".