Attachment-based intervention for maltreating families.
Bibliographic record
Abstract
This article presents attachment theory-based intervention strategies as a means of addressing the core parent-child interaction deficits that characterize homes in which children are exposed to maltreatment. The article outlines the socioemotional and cognitive outcomes of maltreatment and proposes that although many prevention programs target different parental and family characteristics, few address the core relationship issues that are at stake. Recent research on attachment-based intervention strategies, aimed at improving the sensitivity and responsiveness of the parenting behaviors that children are exposed to, are presented as providing a means of addressing this domain. Attachment theory and research are briefly summarized, and the relational and interactional patterns observed in maltreating families, and their link to infant and child developmental outcome, are described. Research on attachment-based intervention is addressed, with a focus on studies conducted in the context of maltreating or high-risk families. This work is synthesized to present the basic components viewed as critical to effective attachment intervention with maltreating families. Finally, the authors end with recommendations aimed at the effective implementation of attachment-based intervention.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".