FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN NELAYAN TANGKAP DI DESA TABANIO KECAMATAN TAKISUNG KABUPATEN TANAH LAUT
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 research was conducted to know: the cost factor of care, operational cost, depreciation cost and the means of catching together to income and know the most dominant factor influence the catching fisherman income in Tabanio Village, Takisung Sub-District, Tanah Laut Regency.This thesis research uses quantitative method with numbers such as maintenance cost, operational cost, fishing gear and depreciation cost. Meanwhile, the data used to analyze the thesis is using cross section data. With primary material that is taken a direct data from source, that is obtained from direct interviews from fishing boat owner in Tabanio Village, Takisung District, Tanah Laut Regency.After doing research, it is known that simultaneously the cost factor of care, operational cost, depreciation cost and fishing gear have an effect on to catch fisherman income and appliance catch variable (X3) is the factor which has the most dominant influence to catch fisherman's income in Tabanio Village, Takisung District Tanah Laut District.Keywords:: Maintenance Cost, Operational Cost, Depreciation Cost, Fisherman's Income Catch
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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