ANALISIS PENDAPATAN PETANI KELAPA DI DESA RANOKETANG ATAS KECAMATAN TOULUAAN KABUPATEN MINAHASA TENGGARA (Income Analysis of Coconut Farmers in Ranoketang Atas Village, Touluaan Sub District, Southeast Minahasa Regency)
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
The objective of this research is to analyze income, income comparison and the feasibility of coconut farming, both those selling in the form of coconut seeds and those selling in the form of copra in Ranoketang Atas Village, Touluaan District, Southeast Minahasa Regency. Data collection methods are interviews, recording and documentation. The data collected in this study are primary data obtained from direct interviews with respondents through questionnaires and secondary data obtained from the Ranoketang Atas Village office and Touluaan Sub District Office. 
 The research results indicated that there is a significant difference level of income between farmers who sell coconuts in the form of coconut seeds and farmers who sell coconuts in the form of copra with the average income of farmers who sell coconuts in the form of coconut seeds of Rp. 16,915,929 per quarter and the average income of farmers who sell coconut in the form of copra is Rp. 20,719,939 per quarter. The results of the feasibility analysis of farming obtained a value of more than 1 which means that coconut farming run by coconut farmers in the village of Ranoketang Atas, Touluaan Sub District, Southeast Minahasa Regency is feasible.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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