Peran Dinas Pertanian Dalam Pemberdayaan Petani Jagung di Kecamatan Tellusiattingnge Kabupaten Bone
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aims to determine the Role of the Department of Agriculture in Empowering Corn Farmers in Tellusiattingnge District, Bone Regency. The research method used is qualitative research and the number of informants is 12 people. This study uses data analysis techniques consisting of: data reduction, data presentation, and drawing conclusions. The results of this study indicate that the Bone District Agricultural Service has carried out empowerment by carrying out counseling and coaching programs, providing infrastructure and facilities, as well as monitoring and evaluation in accordance with the stages in the empowerment process according to Bone Regent Regulation Number 69 of 2017. For Tellusiattingnge District there are three the villages that are centers of corn cultivation according to the highest level of corn production in the Tellusiattingnge District are: Ulo Village, Pongka Village, and Palongki Village. Seeing the potential possessed in Tellusiattingnge Subdistrict for corn plantations, it is necessary to empower the government in a sustainable manner by conducting counseling and coaching, providing infrastructure and facilities, as well as monitoring and evaluation in collaboration with farming communities in order to create the lives of farming communities, especially superior and prosperous corn farmers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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 it