Kewenangan Pemerintah Kota Denpasar dalam Penerapan Jalur Khusus Sepeda
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
Realizing an environmentally friendly city of Denpasar is one of the balancing concepts in the development of an environmentally friendly city. Changing the mode of transportation to environmentally friendly transportation, such as the use of bicycles, can prevent congestion. One of the government's real actions is the government's authority on bicycle lanes as a necessity for the community. The purposes of this study are to reveal the form of authority of the Denpasar City Government in Streamlining the Application of Bicycle Paths and forms of legal protection for bicycle lane users based on Law Number 22 Year 2009 in Denpasar City. The type of legal research used in this research is empirical legal research with a statutory approach. The data collection techniques were carried out by reading, recording, quoting, summarizing and analyzing the data and information obtained from the relevant agencies, namely the Denpasar City Transportation Service. After obtaining primary legal materials and secondary legal materials which are then processed and analyzed systematically, data is obtained that the authority of the Denpasar City government in making the use of bicycle lanes effective is to provide bicycle lane facilities at several points scattered in the Denpasar City area, such as on Jalan Sudirman , Jalan Letda Made Putra, Jalan Letda Tantular and at several other points. Meanwhile, legal protection for bicycle lane users contains the rights of bicycle lane users, such as the mandatory provision of bicycle lane facilities by the government to ensure the safety and comfort of cyclists, freedom from fear in traffic, and avoidance of traffic hazards.
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 | 0.000 | 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 | 0.001 | 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) | 0.001 | 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