Improving Communication Given to Parents with Children Born Prematurely
Bibliographic record
Abstract
Research has shown that, upon discharge of children born prematurely, parents do not think they have the abilities to care for their child without the staff and technology of the neonatal intensive care unit (NICU) (Jefferies, 2014). After discharge, most preterm babies are followed by a neonatal follow-up program (NFUP). NFUPs provide assessment, monitoring, identification and early intervention for high-risk infants who have been cared for in a NICU (Provincial Council for Maternal and Child Health, 2015). NFUPs serve several purposes, one of which is to provide anticipatory guidance and teaching parents about their child's developmental patterns, thereby fostering parental resilience. Unfortunately, few parents remember the information given to them by health professionals during medical visits (McGrath, 2012). A systematic review will be conducted in order to collect evidence on preterm children development in the domains of language, feeding and cognition, from birth to school age. Several guides will be created in order to better educate and support parents of children born prematurely, during their visits to NFUPs.
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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 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".