Guidelines for the Institutional Implementation of Developmental Neuroprotective Care in the NICU. Part B
Bibliographic record
Abstract
The use of age-appropriate care as an organized framework for care delivery in the NICU is founded on the work of Heidelise Als, PhD, and her synactive theory of development. This theoretical construct has recently been advanced by the work of Gibbins and colleagues with the "universe of developmental care" conceptual model and developmental care core measures which were endorsed by the National Association of Neonatal Nurses in their age-appropriate care of premature infant guidelines as best-practice standards for the provision of high-quality care in the NICU. These guidelines were recently revised and expanded. In alignment with the Joint Commission's requirement for healthcare professionals to provide age-specific care across the lifespan, the core measures for developmental care suggest the necessary competencies for those caring for the premature and critically ill hospitalized infant. Further supported by the Primer Standards of Accreditation and Health Canada, the institutional implementation of these core measures require a strong framework for institutional operationalization presented in these guidelines. Part B will present the recommendations and justification of each steps behind the present guidelines to facilitate their implementation.
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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 | 0.017 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".