EMPOWERING RURAL COMMUNITIES: FOOD SECURITY AND SUSTAINABILITY IN BENGOH RESETTLEMENT SCHEME AREA, SARAWAK
Bibliographic record
Abstract
This case study investigates hydroponic farming within the Bengoh Resettlement Scheme (BRS) as a means to enhance food security and increase income for four villages situated in challenging terrain in Sarawak, East Malaysia.Considering the unique cultural and geographical challenges faced by these communities, a participatory social action research approach was employed to engage locals and foster their acceptance of this innovative farming method.In particular, hydroponic farming offers significant advantages, including consistent yields and production rates that can be up to five times greater than traditional methods on the same land area.Despite these benefits, initial participation rates were low due to resistance to unfamiliar practices.As such, many households struggled during the adaptation phase, encountering difficulties in measuring liquid fertiliser, and concerns about electricity usage led some to turn off water pumps, resulting in minimal yields.Moreover, it is anticipated that as the economic benefits of hydroponic farming, measured in Ringgit Malaysia, become clear and success stories emerge, more households will adopt this method, ultimately improving food security and income stability in the region.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".