Enhancing Capacity Building in Seaweed Cultivation System among the Poor Fishermen: A Case Study in Sabah, East Malaysia
Bibliographic record
Abstract
Community development issues in the context of sustainable development has been given serious attention fromall parties namely government and private sectors. In this case study, a member of the community who wants tosucceed in their life through development programmes should have positive attitude and take steps to developthemselves, while being supported by the government. This paper discusses the establishment of capacitybuilding programmes among a poor rural community. The main objective of these programmes is to enhance thesocio-economic status of the community through seaweed cultivation. Based on this, capacity buildingprogrammes were conducted for enhancing the level of community participation and high skills for the long termin the process of modern sustainable seaweed cultivation. The study was conducted between 2011 and 2013.Interviews were carried out with local fishermen and data were analysed using qualitative analyses techniques.The findings revealed that, the introduction of seaweed cultivation using the Estate Mini System and ClusterSystem under the initiative by the Department of Fisheries Sabah exposed the community to new technologiessuch as using varieties of seeds, seeds and nursery management, fertilizing and tying of seeds, the activity ofsolar drying and using the casino table technique in the process of seaweed cultivation. The study is significantfor the fishermen experiencing the process of lifelong learning and who can enhance their knowledge andsurvival skills in their respective fields of employment. Moreover, capacity building programmes could changethe mind-set of the community to be more open and receive the new approaches in the production of seaweedcultivation.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".