Early Maladaptive Schemas and Aggression Based on the Birth Order of Children
Bibliographic record
Abstract
Early maladaptive schemas are patterns or deep, pervasive and dysfunctionalthemes formed in childhood or adolescence, continue in adulthood and act at the deepest level of the cognition and usually the person is not aware of them. Schema makes people prone to aggression, depression, anxiety, poor interpersonal relationships and mental- physical disorders.The aim of this study is to compare early maladaptive schemas and the birth order of children in the formation of aggression. For this purpose, in an ex post facto research, 320 cases usingconveniencecluster sampling were selected from Tehran government girls' high schools and were tested. After screening,160 only child students were selectedrandomly andwere assigned in the first group and in the second group 160 students of the rest were assigned who have been matched with the first group. One-way analysis of variance results showed that early maladaptive schemas and birth order, birth (one's position in the family) are involved in the creation of aggression. According to the findings, we can say that the early maladaptive schemas and birth order of childrenare important factors in the formation of aggression.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".