Perbedaan Persepsi, Pendapatan dan Tingkat Risiko Usaha Tani Padi Sistem Tebas dan Non Tebas di Desa Sarimulyo, Kecamatan Winong, Kabupaten Pati
Bibliographic record
Abstract
The aims of the research is to: (1) analyze the perception of paddy farmer "tebas" and "non tebas" system on economic aspect, practical aspect, and risk aspect.social aspect.( 2) analyze income differences of farmer using "tebas" and "non tebas" system.(3) Compare risk analysis and strategies to overcome the risk of rice farming between "tebas" and "non tebas" system.The research was conducted in February-March 2018.The type of this research is quantitative descriptive research.Sample determination technique used quota sampling.Respondents of this research were 30 farmers of "tebas" system and 30 farmers of "non tebas" system.Data collection was obtained using survey method, field observation and structured interviews to farmers using questionnaires.The results of the study explain the perception of farmers with "non tebas" system was better than the tebas system.There is no difference in farming income between tebas and non "tebas" system.Based the production risks, price risks, and income risks of "tebas" system was lower than "non tebas" system.
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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) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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; both teacher heads agree on what is shown here.
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".