Evaluation of possums sleep intervention: A pilot feasibility study
Bibliographic record
Abstract
The first year with a child is one of the most challenging times for mothers due to repeated awakenings typical for young infants. Research has shown that persistent fragmented sleep increases a mother’s risk for low overall well-being, which can challenge the mother-infant relationship. In an effort to improve sleep for both mother and infant, healthcare providers often recommend infant behavioral sleep interventions. The primary focus of this pilot study was to assess the feasibility of the Possums Sleep Intervention, a psychoeducational group workshop for women with infants between the ages of 0-6 months. A second goal of the study was to evaluate the potential of the Possums curriculum in improving maternal and infant sleep and self-reported mother-infant emotional availability. Participants were 24 mothers with their 0-6 month old infants assessed at the start of the study and again at the completion of the 4-week workshop. Results showed improvements in the perceived emotional availability in the mother-infant relationship; however, positive effects related to maternal or infant sleep were only on a trend level.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".