ANALISIS JEJARING SOSIAL UNTUK MANAJEMEN PENGELOLAAN PERBATASAN ANTARA NEGARA
Bibliographic record
Abstract
The Province of Riau Islands is one of the provinces that have borders with neighboring countries, thus became the window of Indonesia. Therefore, the management in border areas will be a barometer state management of border in Indonesia in general. The current government has formed border management agency between countries starting from central government, Province to District/City level since Riau Islands share a border with 4 (four) foreign countries. Therefore, proper inter-country border management is expected to run optimally. However, there are still various problems from illegal activities such as smuggling, piracy, illegal fishing/mining, drugs, terrorism, etc. These problems should be solved by Collaborative Governance approach between stakeholders involved in the management of border areas. To find out how the parties are then this research will analyze how the involvement between parties with Social Networking approach. Keywords: collaborative governance, social networking, border area, management, governance
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".