Supporting Public Health Nurses with Breastfeeding Interventions for Late Preterm Infants
Bibliographic record
Abstract
Late preterm infants often experience feeding difficulty post discharge from hospital. While breast milk is especially important for late preterm infants, they have lower exclusive breastfeeding rates than full term infants. This is because mothers of late preterm infants often do not receive sufficient amount of breastfeeding support in the postpartum period. Furthermore, in the Canadian context, guidelines do not exist for health care providers to use to assist them in providing breastfeeding support for mothers of late preterm infants in the community setting. We used a modified Delphi approach to begin to fill this gap. We present information relating to physiological development in systems, its significance to feeding, and potential interventions for public health nurses. This information will assist PHNs in their clinical reasoning and decision-making when supporting mothers and their LPIs to exclusively breastfeed in the community.
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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 | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".