Kajian Analisis Faktor pada Faktor yang Mempengaruhi Produksi Padi di Nagari Cupak Kabupaten Solok
Bibliographic record
Abstract
Solok district is the largest rice producing center in West Sumatra, known as "Bareh Solok", with most of the population working as farmers. Increased production is influenced by factors such as land area, labor, seeds, fertilizers, capital, pesticides, and irrigation. These seven factors are interconnected and related to each other, so the purpose of this study was to determine the factors that influence rice production in Nagari Cupak, Gunung Talang District, Solok Regency. The type of research used is applied research. This study has a sample of 89 respondents. Furthermore, in the analysis using factor analysis method. The results of this study indicate that the first factor consists of land area, labor, seeds and pesticides. The second factor consists of fertilizer, capital and pesticide variables
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.005 | 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; 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".