A secure base from which to regulate: Attachment security in toddlerhood as a predictor of executive functioning at school entry.
Why this work is in the frame
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Bibliographic record
Abstract
In light of emerging evidence suggesting that the affective quality of parent-child relationships may relate to individual differences in young children's executive functioning (EF) skills, the aim of this study was to investigate the prospective associations between attachment security in toddlerhood and children's EF skills in kindergarten. Mother-child dyads (N = 105) participated in 2 toddlerhood visits in their homes, when children were 15 months and 2 years of age. Mother-child attachment security was assessed with the Attachment Q-Sort during both these visits. When children were in kindergarten (ages 5-6), they were administered a battery of EF tasks, and their teachers completed the Behavior Rating Inventory of Executive Function to assess children's EF problems. The results indicated that kindergarteners who were more securely attached to their mothers in toddlerhood showed better performance on all EF tasks, and were considered by their teachers to present fewer EF problems in everyday school situations. These results held above family socioeconomic status (SES) and child age, sex, and general cognitive functioning. The fact that early attachment security uniquely predicted both teacher reports and children's objective EF task performance suggests that parent-child attachment may be a promising factor to consider in the continuing search for the social antecedents of young children's EF.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.004 | 0.002 |
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 it