Socio-Economic Issues among Felda Settlers in Perlis
Bibliographic record
Abstract
After almost fifty years of operation, government through a number of announcements declared that FELDA (Federal Land Development) schemes need to be revitalized so that it could play its role more effectively as a vehicle that would accelerate the country’s economic growth. Having raised this point, the major aim of this study is to examine the major socio-economic issues and the current socio-economic status of FELDA settlers.Information was gathered through face-to-face interview with the Mata Air FELDA settlers and the Rimba Mas FELDA settlers in Perlis. Descriptive statistics such as mean, standard deviation and percentages were employed to describe the socio-economic problems and issues studied. The findings of the study indicate the implication of the ageing phenomenon of the FELDA settlers in Perlis to some extent affect the settlers’ ability to work effectively on their plantation. It is also found that the second generation issue has become the most significant factor contributing to the productivity and income increment of the FELDA settlers in Perlis as compared to other selected socio-economic variables. The result also suggested that, the ageing phenomenon, second generation issue and entrepreneurship problem must be seriously taken into consideration in order to accelerate the FELDA’s growth specifically and the country’s growth generally.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| 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".