Pelatihan Olahan Minuman Jeruk Siam Di Desa Mensere Kecamatan Tebas Kabupaten Sambas
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
Siamese oranges are part of the abundant agricultural products in Sambas Regency. Siamese orange farming is able to become the main supplier for West Kalimantan, but during post-harvest the condition of Siamese oranges is uncontrolled, causing an unstoppable abundance in the market and causing a decrease in the price of Siamese oranges. The purpose of this community service is to provide training in processing Siamese oranges in Mensere Village, Sambas Regency. The approach method used is the provision of materials, modules, direct technical processing and discussion sessions. The results obtained from the activity were that the participants were happy with this training, besides that each participant could enjoy the processing process that had been practiced directly during the training and commented positively on the training that had been given. Training in processing drinks with Siamese oranges as raw materials is expected to foster skills and foster an entrepreneurial spirit in processing Siamese oranges. Another impact is to provide reinforcement of information on the condition of Siamese oranges, in addition to helping to increase creativity in overcoming the growth rate of Siamese oranges which during post-harvest cannot be stopped by the market.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it