Attitude Relationship With The Role of Family In Providing Asi Assembly Food
Bibliographic record
Abstract
The feeding of babies is mostly determined by the mother. The role of the mother is shaped by the knowledge and attitudes of the mother and her family. The attitude of mothers regarding feeding to children is a factor that determines a person to behave and plays a role in providing the right food for children. Aging in this study is to determine the relationship between maternal attitudes and the role of mothers in providing complementary foods. This study was conducted on 50 mothers who have children aged 6-12 months in the posyandu area of the Lirboyo village in the Campurejo Community Health Center area. The time for conducting the research is 3 months, namely June to August 2018. This study uses the Cross Sectional method. The independent variable in this study is the attitude of the mother. The dependent variable in this study is the role of mothers in providing complementary food for breast milk. Data collection using Quasioner. The data obtained were analyzed using SPSS to identify data on attitudes and roles of mothers in the supply of ASI complementary foods, using the Spearman Rho test to see the relationship between attitudes and maternal roles, a significant level of p 0.05.The results showed that there was a relationship between attitudes and the role of parents in providing complementary ASI foods (p = 0.00) Communities and respondents were expected to be able to apply the knowledge gained through proper self-care and provide knowledge to others who did not know it, so It is expected that the community will also participate in helping create a conducive environment for child development. Keywords: Attitudes, Roles, ASI Companion, Family
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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".