Expressed Emotion in Mothers of Boys with Gender Identity Disorder
Bibliographic record
Abstract
The authors examined the construct of expressed emotion in mothers of 20 boys with gender identity disorder (GID), 20 clinical control boys with externalizing disorders (ECC), 20 community control boys (NCB), and 20 community control girls (NCG). The mean age of the children was 6.86 years (SD = 1.46, range = 4-8 years). The authors predicted that the mothers of boys with GID would demonstrate (a) higher percentages of expressed emotion, criticism, and emotional overinvolvement compared with normal controls; and (b) higher percentages of only emotional overinvolvement compared with mothers of boys with externalizing difficulties. They used the Five-Minute Speech Sample (Magana-Amato, A., 1986) to assess maternal expressed emotion. A significantly greater percentage of mothers in both clinical groups were classified as high expressed emotion than mothers in the NCB group. When the authors compared the GID group with all other groups combined, they found that the mothers of boys with GID were classified as having higher levels of a combination of both high or borderline emotional overinvolvement and low criticism than were mothers in the other 3 groups. The authors discuss expressed emotion as a maternal characteristic in the genesis and perpetuation of GID in boys.
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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".