Dinamika stok ikan teri di pasar mingguan Kecamatan Kolono Timur Kabupaten Konawe Selatan
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui dinamika stok ikan Teri di pasar mingguan yang ada di Kecamatan Kolono Timur Kabupaten Konawe Selatan yaitu pasar Langgapulu, pasar Rumba-Rumba, dan Pasar Lambangi pada bulan Mei 2022. Sampel penelitian ini sebanyak 14 orang, yakni dari Pasar Langgapulu sebanyak 5 orang yang terdiri dari 1 orang penjual Teri segar dan 4 orang penjual Teri kering, Pasar Rumba-Rumba sebanyak 4 orang yang terdiri dari 1 orang penjual Teri segar dan 3 orang penjual Teri kering, dan Pasar Lambangi sebanyak 5 orang yang terdiri dari 4 orang penjual Teri segar dan 1 orang penjual Teri kering. Variabel yang diamati adalah stok ikan teri kering dan ikan teri segar. Data tersebut dianalisis menggunakan perhitungan statistika sederhana berupa persentase. Hasil analisis menunjukkan bahwa dinamika stok Ikan Teri selama empat minggu di pasar mingguan yang ada di Kecamatan Kolono Timur selalu dinamis setiap minggunya.
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 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 | 0.000 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".