PEMBANGUNAN KAWASAN POS LINTAS BATAS NEGARA (PLBN) DAN DAMPAKNYA TERHADAP KEBIJAKAN KEAMANAN NASIONAL
Bibliographic record
Abstract
In 2024, the government has targeted that Indonesia will have 26 National Border Posts (PLBN). PLBN development is not only aimed at cross-border posts or offices, but will be built as a center for new regional economic growth. The presence of PLBN will improve the welfare of residents in border areas and increase the national security of the Indonesian nation. Through qualitative methods, researchers analyzed the conditions before the PLBN was built, the implementation of the PLBN area construction and the impact of the PLBN area development on national security policy. The research results show: Conditions of isolation and poverty before the PLBN Area were built, development of the PLBN area had been carried out on a large scale and there was a need for security policies in border areas so that the development of the PLBN Area was effective in increasing national security.
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.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.005 |
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; 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".