Emotional competencies in emerging adolescence: relations between teacher ratings and student self-reports
Bibliographic record
Abstract
This cross-sectional study examines gender-informed teachers’ and early adolescents’ reports of emotional competencies within the school setting. The sample for the current study consisted of 290 emerging adolescents (114 boys, 170 girls) recruited from 24 schools. Social-emotional competencies were assessed by students’ self-report questionnaires and teacher and parent reports. Results showed significant positive associations between teacher-rated emotional competencies and emerging adolescents’ self-reports with three of the four Interpersonal Reactivity Index subscales (Perspective Taking, r = .231, p = .000; Fantasy, r = .303, p = .000; and Empathetic Concern, r = .196, p = .007). Significant gender differences were also found as both adults and adolescents’ rated girls as showing greater emotional competencies than boys. Results are discussed in terms of future research directions and implications for educational strategies and practices to help build prosocial and emotional abilities and behaviours.
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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 | 0.002 | 0.007 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".