Future policies for managing ship traffic and safety in the access channel of a new nation’s capital: A case study of Indonesia
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
Indonesia has a new capital, officially known as Nusantara (IKN). The nearest access to and from IKN is through Balikpapan Bay, a confined waterway that may eventually result in traffic congestion and interfere with shipping operations. This research aims to investigate ship traffic and safety governance policies, as few researchers have previously studied this issue in the IKN waters. We collected the empirical data in four steps. Firstly, we conducted in-depth interviews and focus group discussions attended by related stakeholders, such as the Harbormaster and Port Authority, the Indonesian Maritime Court, the Navigation District Officers, SOE Port Managers, Local Government, and Shipping Companies Association. Next, we distributed questionnaires to shipping operators. Furthermore, using triangulation techniques, this research suggests the need to harmonize regulations implemented by related agencies involved in shipping activities. The last step was determining ship routes to ensure maritime safety and ship traffic efficiency. The proposed harmonization would provide port and shipping operators with business certainty in accordance with applicable laws. The research also recommended sharing authority between the IKN Authority Agency, which is responsible for the exploitation of water areas, and the Transportation Ministry, which regulates maritime traffic and safety.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it