Stakeholders’ Perception Towards Participation in Cattle - Oil Palm Integration Projects
Bibliographic record
Abstract
Having the country moving forward towards high income nations and the increased number of our population, strengthening the food security become one of nation priority. Over the years, the livestock industry seems to be growing constantly and protein livestock products are more sought after. With the vast area of oil palm plantation, there are high potential for farmers to implement the cattle-oil palm integration project. However, the numbers of farmers who took the initiatives are quite low. Therefore, this study will gather and analyze the stakeholders’ perception on the factors that influenced the decision towards implementing cattle integration in oil palm plantation. A total of 150 respondents were involved in this study and several methods used in analyzing the data namely descriptive analysis up to factor analysis. Through the Factor Analysis, the study summarize on the three (3) significant factors that might affect the farmers perception generally. Despite having several other constraints holding back the implementation, all parties’ involvement is required in moving forward to achieve the targeted goals.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".