Factors Influencing Inclination towards Agro-food Entrepreneurship among Kelantan Youth
Bibliographic record
Abstract
The National Agro-food Policy is an opportunity for agro-entrepreneurs to increase their revenue and it also provides job opportunities for unemployed youth. However, the agricultural sector is not attractive to convince the youth and young generations to engage in the agro-food sector because of the perception. This study was aimed at identifying the factors influencing inclination towards agro-food entrepreneurship among Kelantan youth. The study used a non-probability sampling technique and 100 questionnaires were distributed to youth in Kelantan. In order to achieve the aim of study, a descriptive analysis was employed to analyse the data. The findings demonstrated that attitude was the most significant factor influencing the inclination of youth towards agro-food entrepreneurship. Future research should focus on respondents who have a background in agriculture, such as agricultural students or people who are involved in the agro-food sector in order to acquire a greater understanding of factors that influence the inclination towards agro-food entrepreneurship.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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 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".