Do You See What I See? Emotion Recognition Competencies in Sexually Abused School-Aged Children and Non-Abused Children
Bibliographic record
Abstract
Child sexual abuse (CSA) is a worldwide phenomenon that has been linked to deleterious consequences. Adverse life events, such as sexual abuse, can compromise the development of emotional competencies, an important dimension of children’s psychosocial development. This study aimed at evaluating emotion recognition competencies in sexually abused and non-abused children. The sample consisted of 97 sexually abused children (65 girls) and 78 non-abused children (56 girls) aged between 6 and 12 years. They were recruited in specialized intervention centers and elementary schools from the Montreal area. Recognition of joy, anger, fear, sadness, and neutral expressions was assessed using the Developmental Emotional Faces Stimulus Set (DEFSS; Meuwissen et al., 2017). Results of an ANCOVA revealed that the total scores of emotion recognition were significantly lower for victims of SA (M = 18.12, SE = 0.33) relative to non-abused children (M = 19.36, SE = 0.37), F(1,170) = 5.70, p < .05. Analyses performed on specific expressions yielded lower scores for the recognition of anger, F(1, 170) = 6.12, p = .014, partial η2 = .03, and joy, F(1, 170) = 8.04, p =.005, partial η2 = .04. Our findings highlight the importance of assessing emotion recognition competencies to improve intervention programs provided to sexually abused children and prevent the development of severe psychosocial problems.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".