Values Related to Moral Behavioral Practice in Malay Students Context
Bibliographic record
Abstract
Malaysia is a country that strives to instill noble or good morals and values among the young generation who will lead the country’s development. The importance of values has been clearly stated under the principle of ‘decency and morality, the fifth principle in Malaysian National Principles. Adhering to this principle requires constant effort and has its challenges. This study discusses the practices of moral behavior in the daily lives of Malay students. This study uses the case study design (one case, one place) and a qualitative approach to understand this phenomenon. Purposive sampling techniques and specific criteria were used in selecting the participants of this study. The ATLAS.ti 7 software was used to manage the data obtained through observation, interviews, and document analysis. The thematic analysis technique was then utilized to analyze data obtained in this study. These findings show that personal noble values and institutional values are the core of moral behavioral values. Malay students understand the practice of moral behavioral values as a combination of personal values and the institutional values that work in balance to be manifested and practiced consistently in their daily lives. In conclusion, together, the Ministry of Education, schools, family institutions and the community play an important role in inculcating values related to the practice of moral behavior among students. It is suggested that future studies conduct a comparison of values related to moral behavior among various ethnicities as well as categories of students (disciplined and undisciplined groups).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".