Impact of Adopting Agricultural Extension Recommendations on the Success of Palm Cultivation
Bibliographic record
Abstract
This study aimed at analyzing the impact of the adoption of agricultural extension recommendations on the success of palm cultivation in Jordan. Data were collected via structured questionnaire from 40 palm farmers in DairAlla area in Jordan. A comprehensive survey through a well-constructed questionnaire with items related to the objectives of the study was used to collect necessary data. Descriptive statistical analysis procedure was followed. Means, standard deviations, and percentages were determined; T and f tests, correlations, and regression analysis were conducted. The results of the study showed that there was a medium level in the degree of adoption of the investigated farmers of the agricultural extension recommendations. Recommendations related to land preparation for agriculture, disease control, and irrigation methods were the most adopted recommendations. The results also revealed that there was a significant effect on the farmers' adoption of recommendations at 5% level for education level, farming experience, and land area variables.
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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 | 0.001 |
| 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 | 0.001 | 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".