Analysis of Component of Aggression in the Stories of Elementary School Aggressive Children
Why this work is in the frame
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Bibliographic record
Abstract
The purpose of this study is the content analysis of children’s stories based on the components of aggression. Participants are 66 elementary school students (16 girls and 50 boys) selected from fourth and fifth grades, using the Relational and Overt Aggression Questionnaire; completed by the teachers. Draw a Story Test (Silver, 2005) is administered to select aggressive children who narrates stories based on their drawn pictures in response to DAS pictures. DAS Test consists of a series of figures which children respond by drawing a picture and telling a story related to the picture. This provides us with the information about their self image and emotional content. After deciding the components of aggression based on theories of Crick et al. (1997), and Crick and Dodge (1996), the stories are analyzed using the quantitative content analysis technique. The results reveals that the narrated stories of aggressive children have engagement ratio of 1.62, which means more than 50% of children showed aggressive components. The highest frequency of aggression in their stories is related to murdering, killing and hurting others.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it