Teacher-Child Relationships and Child Temperament in Early Achievement
Bibliographic record
Abstract
<p>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.</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".