Toddler disorganized attachment in relation to cortical thickness and socioemotional problems in late childhood
Bibliographic record
Abstract
Disorganized attachment is a risk for mental health problems, with increasing work focused on understanding biological mechanisms. Examining late childhood brain morphology may be informative - this stage coincides with the onset of many mental health problems. Past late childhood research reveals promising candidates, including frontal lobe cortical thickness and hippocampal volume. However, work has been limited to Western samples and has not investigated mediation or moderation by brain morphology. Furthermore, past cortical thickness research included only 33 participants. The current study utilized data from 166 children from the GUSTO Asian cohort, who participated in strange situations at 18 months and MRI brain imaging at 10.5 years, with 124 administered the Child Behaviour Checklist at 10.5 years. Results demonstrated disorganization liked to internalizing problems, but no mediation or moderation by brain morphology. The association to internalizing (but not externalizing) problems is discussed with reference to the comparatively higher prevalence of internalizing problems in Singapore.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".