PRE/PERINATAL ADVERSITIES AND BEHAVIOURAL OUTCOMES IN EARLY CHILDHOOD: PRELIMINARY FINDINGS FROM THE VANCOUVER LONGITUDINAL STUDY
Bibliographic record
Abstract
Several pre/perinatal factors (e.g., birth complications, maternal substance use, low birth weight) have been associated with early neuropsychological deficits and negative behavioural outcomes in infancy, childhood, and adolescence. The current study examines the relationship between maternal substance use during pregnancy and its impact on physical aggression and sexual behaviours in a sample of preschoolers. This study is based on a sample of children (<em>n</em> = 129), boys and girls, recruited as part of the KD-BEAR project, an ongoing longitudinal study conducted in Vancouver, British Columbia, Canada. The sample consisted of clinical referrals for an externalizing disorder and children recruited in daycares located in at-risk neighbourhoods. Semi-structured interviews were completed with the primary caregiver. A series of structural equation modelling showed that children showing higher levels of physical aggression and sexual behaviours were more likely to have been exposed to maternal substance use and pregnancy-related complications. Implications of the study are discussed in light of the scientific literature on the early prevention of aggression and violence.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".