The Interest in Science among Malaysian: A Comparative Study between Gender, Age Group and Ethnics
Bibliographic record
Abstract
This paper reports a study which was conducted to know the interest in science among the Malaysian. Altogether 642 respondents from all over the country participated in the study. The respondents, male and female from different ethnics were randomly obtained. They were given booklets of questionnaire containing statements related to the issues of science. The statements were provided with responses in the form of Likert style scale ranging from 1. Strongly disagree, 2. Disagree, 3. Not sure, 4. Agree and 5. Strongly agree. The booklets were collected and the responses were analysed using the Statistical Package for the Social Sciences (SPSS) to obtain the means and percentages of the responses. The findings show that 68.3% of the respondents claimed that they have interest in science, although the interest in science is not strong, no difference of interest in science is found between male and female respondents as well as between the ethnics. However there is significant different of means between age 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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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; both teacher heads agree on what is shown here.
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".