ANALISIS DAMPAK KETERSEDIAAN PELABUHAN TULEHU TERHADAP PERKEMBANGAN SOSIAL EKONOMI MASYARAKAT NEGERI TULEHU
Bibliographic record
Abstract
Dari permasalahan untuk mengetahui Bagaimana Pengaruh Keberadaan Pelabuhan Tulehu Terhadap Sosial Ekonomi Masyarakat Desa-Desa di Kecamatan Salahutu Kabupaten Maluku Tengah dan Apa Saja Dampak Yang Terjadi Pada Masyarakat. masih sangat di pertanyakan mengenai dampak baik atau buruk yang di timbulkan akibat adanya pelabuhan Tulehu tersebut. Tujuan penelitian ini agar bisa mengetahui dengan cara menganalisis keberadaan pelabuhan Tulehu ini. Jenis penelitian yang dilakukan yaitu jenis penelitian deskriptif kualitatif-kuantitatif. Penelitian ini merupakan metode penelitian yang berusaha mengambarkan dan mengiterprestasikan objek sesuai dengan kenyataan di lapangan baik deskriptif maupun interprestasi angka, sementara analisis yang digunakan dalam penelitian yaitu berupa analisis deskriptif kualitatif-kuantitatif dengan mengunakan pendekatan silang (crosstabulation)
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.005 |
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".