Mitigating effects of the home environment on inattention and overactivity in children adopted from Romanian orphanages: a longitudinal study
Bibliographic record
Abstract
This longitudinal study examined the potential mitigating effects of the adoptive home environment on inattention and overactivity (I/O) in children adopted from Romanian orphanages. Three groups were studied: (1) Children who experienced at least 8 months of deprivation in an orphanage prior to being adopted to British Columbia (RO group), (2) Children adopted to British Columbia from Romanian orphanages prior to 4-months-of-age (EA group), and (3) Canadian born non-adopted children (CB group). Comparisons of rates of I/O among the 3 group revealed that at ages 4.5, 10.5 and 16-years RO children had more difficulties with I/O than either the EA or CB children. Within the post-institutionalized groups, I/O was related to duration of deprivation and this association was not found to significantly attenuate over time, indicating that duration of deprivation continued to have an influence on the children’s I/O well into adolescence. Several aspects of the adoptive home environment (parenting practices, parent-child attachment, parent-child interaction styles and nurturance and stimulation) were found to significantly correlate with the children’ I/O. Regression analyses indicated that parent-child attachment and parenting practices account for significant variance in I/O beyond that accounted for by duration of deprivation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.001 | 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".