Pemanfaatan Lahan Pekarangan Untuk Pertanian dan Perikanan Dalam Menunjang Ketahanan Pangan Rumah Tangga Masyarakat di Kelurahan Bungkutoko Kecamatan Nambo Kota Kendari
Bibliographic record
Abstract
The problem that occurs at the community service location is the plot of land which is still not optimally utilized to support the availability of household food from agricultural and fishery foods. The purpose of this community service program is to increase public knowledge and awareness of the importance of using yard space in support of household food availability, in addition to practicing how to use simple plot land in the form of aquaponics to meet the availability of vegetable and fish food as well as using patterns of utilization organically. The method used in this activity is counseling, discussion with residents and the practice of making aquaponics as a model of organic yard use. The result of community service that has been done is a new understanding to the community about the importance of managing yard for agriculture and fisheries to support family food security with the availability of organic food sources in the form of vegetables and fish in their own yard. In addition, the community also knew the simple yard utilization model, namely by using the aquaponics system.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.003 |
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".