Reduction of disrupted caregiver behavior using modified interaction guidance
Bibliographic record
Abstract
The present study is a reanalysis of a preexisting study examining the usefulness of the Atypical Maternal Behavior Instrument for Assessment and Classification (AMBIANCE; Bronfman, Parsons, & Lyons-Ruth, 1999) measure as an indicator of efficacy in reducing disrupted caregiver behavior in two brief interventions. The current study examines the rate of change in the display of disrupted caregiver behavior over the course of an attachment-based intervention (Modified Interaction Guidance) in a group of 11 caregiver-infant dyads referred to a tertiary care clinic for feeding problems. The AMBIANCE was utilized as an indicator of change in disrupted behavior following an assessment feedback session and three intervention sessions. Results showed a significant decrease in the total display of disrupted caregiver behaviors, as well as a change in classification from disrupted to not-disrupted, after receiving both feedback from the assessment and the first treatment session. A qualitative analysis of the data further revealed different patterns of change between caregivers. These findings provide preliminary empirical support suggesting that a reduction of disrupted caregiver behavior can be observed relatively quickly after the commencement of the Modified Interaction Guidance intervention.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| 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".