Religious Tolerance in Malaysia: A Comparative Study between the Different Religious Groups
Bibliographic record
Abstract
This paper reports a study conducted on 2400 respondents in Malaysia on their tolerance and mutual respect to each other religion. The study is important in order to map the religious tolerance in Malaysia and the findings can be used to plan future action by related authorities. The respondents, males and females of different ethnics, from the age 18 to 45 years old were obtained randomly from all over the country. The respondents were given booklets of questionnaire containing statements provided with responses in the form of Likert type scale i.e. 1. Strongly agree, 2. Agree, 3. Not sure, 4. Disagree, and 5. Strongly disagree. The booklets were collected and the raw data was analyzed using the Statistical Package for the Social Sciences (SPSS), to obtain the mean responses, the percentages of the responses. The mean responses were tested using the t-test to know if the difference of mean were significant or not. One data of the responses for the statements “I am prepared to do away with some of the teaching of my religion for the sake of national unity” was analyzed. The findings of the study indicate that the 61.7% of the respondents rejected the statement. On the basis of the religion of the respondents, the rejection of the statements were Muslim 72.1%, Buddhists 35.55, Hindu 33.3% and the Christian 43.2%. There were significant difference between the means response of the respondent base on the religion and the difference of mean were significant. T-test analysis shows that there were significant different between the mean response of the Muslim respondents with the other religious groups.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".