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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".