Bibliographic record
Abstract
본 연구는 유아의 식행동에 영향을 미치는 요인을 알아보고, 어머니의 식습관이 유아의 기질과 식행동 간의 관계에서 조절효과를 나타내는지 살펴보고자 하였다. 연구대상은 3~5세 유아 525명과 어머니였으며, 어머니로부터 유아의 기질과 식행동, 어머니의 식습관에 대한 자료를 수집하였으며, 상관관계 분석과 위계적 회귀분석을 실시하였다. 연구결과, 유아의 기질과 어머니의 식습관은 유아의 식행동에 유의한 영향을 미치는 요인으로 나타났다. 또한 어머니의 식습관은 유아의 위험회피 기질과 식행동의 관계에서 유의한 조절효과를 나타내었다. 연구결과를 바탕으로 시사점과 후속연구를 위한 제언을 제시하였다.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".