Investment in Infrastructure: A Comparative Study of the Regulation of Online Single Submission in Indonesia, Canada, and New Zealand
Bibliographic record
Abstract
Abstract The Indonesian Government is attracting foreign investment in infrastructure to support equitable development by simplifying the bureaucratic process for business licensing through Online Single Submission ( oss ). However, from the oss introduction in 2018, it has not yet transformed Indonesia’s investment climate. This paper consists of a normative legal study which uses a statutory, conceptual, and comparative approach with Canada and New Zealand to identify the oss policy disharmony that negatively impacts the investment climate in the Indonesian infrastructure. The results showed a need to reconstruct systems and policies based on the Government Regulation of the Republic of Indonesia Number 24 of 2018 concerning Online Integrated Business Licensing Services and the Law of the Republic of Indonesia Number 11 of 2020 concerning Job Creation to accelerate and increase investment in the era of the fourth industrial revolution.
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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 | 0.000 | 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 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".