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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".