Visions of Early Childhood Education in the 21ST Century : A Preliminary Study on the Behavioral Profile of Korean Neonates
Bibliographic record
Abstract
This study assessed behavioral profile of 50 normal neonatal Korean infants in Daegu area using the NBAS. Being one of few studies on this topic, the study is to document and to accumulate data on the neonatal behaviors of Korean babies. Overall scores were at moderate levels in 6 clusters including Response Decrement, Social Interactive, Motor System, State Organization, and State Regulation. However, some parts of Motor System and State Organization of the subjects were at remarkably good levels. Autonomic Stability was relatively stable. Scores of Response Decrement and State Organization, as well as the scores of Motor System and Autonomic Stability showed positive correlation. Scores of State Organization, State Regulation, Cuddliness and the use of Hand-to-Mouth device indicate that Korean babies are agreeable and even tameable that is advantageous for attachment to caregiver. Full term neonates and their mothers with no abortion history have a higher score in Autonomic Stability, and neonates of working mothers have a higher Orientation score. All these imply that mothers` health and life style affect neonatal behavior performance.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".