Profiles of Emotion Deficits and Adolescent Nonsuicidal Self‐Injury in an Inpatient Sample
Bibliographic record
Abstract
This study examined profiles of specific emotion deficits, including poor emotion awareness, reluctance to express emotion, sadness inhibition and dysregulation, and anger inhibition and dysregulation. Self-report questionnaires assessed adolescents' emotion skills and nonsuicidal self-injury (NSSI) engagement, frequency, severity, methods, and age of onset. Latent profile analysis yielded a three-profile solution: Low Deficit (LD; n = 49), Unaware/Anger Dysregulated (UAD; n = 24), and Anger Inhibited (AI; n = 20) profiles. Adolescents in the UAD profile were more likely to engage in NSSI, displayed a higher NSSI frequency, and reported a higher number of NSSI methods when compared to adolescents in the LD profile. No links emerged for NSSI severity or age of onset.
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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 | 0.002 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".