Teacher emotional support in relation to social competence in preschool classrooms
Bibliographic record
Abstract
The present study aimed to investigate the associations between teachers’ observed emotional support and social competence among Finnish pre-schoolers (6-year-olds). The quality of emotional support was observed using the Classroom Assessment Scoring System Pre-K in 47 preschool classrooms twice across the preschool year. Teachers rated children’s social competence in autumn and again in spring, using the Multisource Assessment of Social Competence Scale (MASCS), which produced sum scores for cooperating skills, empathy, impulsivity, and disruptiveness. Consistent with the transactional model, we specified reciprocal (auto-regressive and cross-lagged) relationships within a Multilevel Structural Equation Models (MSEM) framework. The results showed that higher quality of emotional support in preschool autumn was related to more prosocial behaviours typical of the classroom during spring of the preschool year. Children’s antisocial behaviours typical of the preschool classroom were not associated with quality of emotional support or vice versa. The results emphasize the importance of responsive and sensitive classroom interactions in promoting prosocial 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 | 0.000 | 0.004 |
| 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) | 0.002 | 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".