Teacher-Child Relationships and Child Temperament in Early Achievement
Bibliographic record
Abstract
Teacher-child relationship quality and child temperament have been associated with children’s school adjustment and academic performance. However, few studies explore the influence of both child temperament and teacher-child relationship quality on children’s academic development. This study investigates the role of teacher-child relationships on kindergarten children’s temperament and academic performance. Study participants were comprised of 324 kindergarten students, attending 22 schools in urban, low-income communities. A multivariate regression analysis was used to explore whether teacher-child relationships moderate or mediate the association between child temperament and academic performance. The study reinforces previous findings that conflictual teacher-child relationships inhibit children’s academic performance and close teacher-child relationships promote children’s academic performance. For cautious children, close teacher-child relationships moderate mathematics performance. For high maintenance children, conflictual teacher-child mediate children’s critical thinking. The findings have implications for teacher training, on-going teacher development, and the promotion of early academic development for children at-risk for underachievement.
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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 | 0.004 |
| 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 | 0.000 |
| 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".