Influence of Local Leadership in Poverty Eradication among the Orang Asli Communities in the State of Terengganu, Malaysia
Bibliographic record
Abstract
Statistics show until now more than 30% of Orang Asli in Malaysia is still living in poverty. The government plans to eradicate the poverty facing many challenges. One of the challenges is related to the local synchronic factors, which include aspects of culture, belief, attitude, values and leadership. A survey was conducted on Kampung Orang Asli Sungai Pergam, Terengganu to identify the importance of the role of local leaders in ensuring the successful implementation of a development project that aims to poverty eradication among the local population. The village is chosen based on its performance in a number of development projects, and has successfully enhance socio-economic status of the population. Objective of the survey is to identify: (i) What are the characteristics that are capable of leadership impacts on local poverty alleviation project success. (ii) What role should be played by local leaders to make sure every development project undertaken to achieve objective. Survey data were collected by using interviews and observation techniques. Survey findings show personality traits of a leader is an important factor affecting the success of a leader of its own related to the implementation of development projects. In addition to the leadership structure also has a significance practiced in community development. From the point role of leadership, the element of awareness of the responsibility and commitment of the leaders in developing the village is important. Orang Asli leaders in the Kampung Sungai Pergam have initiative and commitment in ensuring their future progress of development for their village.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".