Does Gender Moderate the Association Between Children's Behaviour and Teacher-Child Relationship in the Early Years?
Bibliographic record
Abstract
Prior research has shown that teacher-child relationship quality predicts school emotional wellbeing and academic engagement, but it is unclear whether the relationship quality reflects teachers’ perceptions of children's social-emotional behaviours differently for girls and for boys. The purpose of this study was to examine whether teachers’ reports of relationship quality were differentially associated with children's behaviours depending on child gender. Teachers provided behavioural reports and ratings of closeness and conflict for children from kindergarten (n= 598), pre-primary (n= 496), and year 1 (n= 451). Of 19 significant associations, only 5 were moderated by gender, including hyperactivity and emotional problems. The findings suggest that, primarily, gender does not moderate how teachers’ perceptions of behaviours correlate with their ratings of relationship quality, but that gender role expectations may affect teacher-child relationship quality in some behavioural domains. Suggestions for counsellors working with teachers are presented that target teacher self-reflection on gender expectations, behavioural expectations and their intersection, to improve teacher-child relationship quality.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".