Framing the work: A coparenting model for guiding infant mental health engagement with families
Bibliographic record
Abstract
When working with families of infants and toddlers, intentionally looking beyond dyadic child-parent relationship functioning to conceptualize the child's socioemotional adaptation within their broader family collective can enhance the likelihood that clinical gains will be supported and sustained. However, there has been little expert guidance regarding how best to frame infant-family mental health therapeutic encounters for the adults responsible for the child's care and upbringing in a manner that elevates their mindfulness about and their resolve to strengthen the impact of their coparenting collective. This article describes a new collaborative initiative organized by family-oriented infant mental health professionals across several different countries, all of whom bring expansive expertise assessing and working with coparenting and triangular family dynamics. The Collaborative's aims are to identify a means for framing initial infant mental health encounters and intakes with families with the goal of assessing and raising family consciousness about the relevance of coparenting. Initial points of convergence and growing points identified by the Collaborative for subsequent field study are addressed.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".