Attachment and behavior problems in middle childhood as reported by adult and child informants
Bibliographic record
Abstract
The predictive relation between attachment and mother, teacher, and self-reported psychopathology was examined for a diverse socioeconomic status French Canadian sample of 96 children. Attachment classifications were assigned on the basis of reunion behavior with mother when the children were approximately 6 years old, and child problem behavior was assessed 2 years later using the Child Behavior Checklist (mother report), the Social Behavior Questionaire (teacher report), and the Dominic Questionnaire (child self-report). Results indicated that both insecure/ambivalent and insecure/controlling children children were rated higher than secure children on a composite measure of externalizing problems. Concerning internalizing problems, only the controlling group was significantly higher on both a composite adult (teacher and mother) and self-report measure of internalizing problems. Analyses of clinical cutoff scores showed that only the controlling group had a significantly greater likelihood of overall problem behavior than other children.This research was supported by grants from the Social Sciences and Humanities Research Council of Canada and from the Conseil Quebecois pour la Recherche Sociale. We thank Jean Bégin and Elina Alexandrov for their invaluable assistance in the research project.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".