A meta-analysis of the distribution of preschool and early childhood attachment as assessed in the strange situation procedure and its modified versions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This meta-analysis synthesized the distribution of attachment classifications as coded with the Cassidy-Marvin Preschool Attachment Coding System and the Main-Cassidy Six-Year-Old System. These systems have extended scholars’ capacity to measure differences in the developing child-parent attachment relationship, and its sequelae, beyond the infancy period; however, the global distribution of the attachment categories in these systems, and the potential factors influencing this distribution, remain unknown. The meta-analysis included 97 samples (N = 8,186 children; 55% boys), mostly drawn from North American or European populations (89%; M = 76% White). Results indicated that the distribution of child-mother attachment was 53.5% secure, 14.0% avoidant, 11.0% ambivalent, and 21.5% disorganized/controlling. Moderator analyses showed that rates of security were lower, and rates of disorganization were higher, in samples of at-risk families, specifically when children were exposed to maltreatment. Variations in the procedure also moderated the distribution. The discussion calls for greater unity around methodological practices.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it