Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research focuses on political culture with a special reference to political participation of the Malays and the non-Malays in district of Hulu Langat, Malaysia. Political landscape in Malaysia is normally being observed in term of ethnicity. This is why political observers in Malaysia claim that the goal of development and individual’s behavior towards politics are habitually govern by ethnicity. Therefore, this paper aims to scrutinize the significance of value and attitude in political participation between Malay and non-Malay. These two vital factors are constanly being neglected in observing political participation. Value and attitude are also positively involved with conventional and non-conventional political participation, while socio-economic status only acts as an underpinning principle. The research was held in Hulu Langat District in Malaysia and rationally being chosen due to its ethnic composition is similar to Malaysian’s ethnic composition, namely Bumiputera, Chinese and Indian. Data was collected through qualitative method that emphasized political participation and respondents’ perspectives on politics and leadership. A total of 400 respondents were sampled involving 208 Malays, 148 Chinese and 44 Indians. The pattern of political participation in this area can explain the politics scenario or political culture among multi-ethnic society in Malaysia.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| 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 it