Characterizing selective mutism: Is it more than social anxiety?
Bibliographic record
Abstract
Selective mutism (SM) occurs when a child persistently lacks speech in some social situations but not in others, despite the ability to use and comprehend language. While considered to be related to anxiety, SM is poorly understood and studies of SM children are often based on parent reports. This study developed a unique, non-verbally based assessment protocol for SM children in order to better characterize their clinical profile, language abilities, and learning abilities. A comparison was done with a group of children of similar age, with social phobia (SP) but no SM, to search for characteristics that might distinguish SM from other anxiety disorders. Twenty-three children participated in the study (14 SM and 9 SP). The assessment protocol included standardized anxiety rating scales, cognitive and academic tests, and a speech and language assessment. SM and SP groups showed similar levels of anxiety and academic ability, but the SM group showed some language impairments relative to the SP group. Though requiring replication with a larger sample and nonclinical comparison group, the results suggest that SM children can be assessed by non-verbal means and that their disorder is characterized by anxiety and subtle language impairments.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".