A Study of the Understanding amongst Academia towards the Islamic Concept of Breastfeeding
Bibliographic record
Abstract
Understanding the importance of breastfeeding from the Islamic perspective is important in ensuring the success of breastfeeding particularly amongst working mothers. The focus of this research is the understanding of the Islamic perspective on breastfeeding amongst university intellectuals who are considered to be highly educated and a role model for other women. This is a field study that employed the quantitative method where data were obtained through questionnaires and an interview with a specialist in the Islamic Family Jurisprudence (Fiqh). A total of 140 respondents were selected from the Malaysian higher education institutes such as UiTM Kuala Terengganu, University Malaysia Terengganu and Universiti Sultan Zainal Abidin, Kuala Terengganu. The results showed that the respondents have a sound understanding with regards to breastfeeding from the Islamic perspective, scoring an average mean value of 2.67-3.92. This finding indicates that knowledge about breastfeeding according to Islam is an important foundation to the successful practice of breastfeeding. n, Development and mobilization in Iran are evaluated on the grounds of LEED for school rating system. In addition, Roshangar Primary school which was successfully built in accordance to the mentioned Iranian design principle is selected as the case study of research. Through a visual analysis, current practice of these design principles can be examined and presented in a clear view. The shortcomings of the above mentioned design principles will be discovered afterwards and recommendations will be presented in the conclusion of research.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".