PERAN PELAYANAN SEKOLAH DASAR DALAM MENDUKUNG KOTA LAYAK ANAK DI SURAKARTA
Bibliographic record
Abstract
Surakarta city is one of the first five cities that became a model in applying the concept of child friendly city. As one of the city that became the modeling of the concept of child friendly city, the city of Surakarta has made many changes to be able to realize the concept. But in Surakarta decent towards the child does not mean there are no issues. One of the problem that happens is in the field of education, especially primary schools like a gap of educational standards, filling the needs of the educational infrastructure is still not fulfilled, and the safety and comfort of children both within and outside the school. Issues contained in the education sector will have a negative impact in the process of realizing the child friendly city in Surakarta. Research question is how the role of primary education in creating child-friendly city in Surakarta. The research method is the type of deductive -quantitative research with technique analysis is descriptive quantitative and descriptive spatial by describing the spatial conditions in the field. The results of this researchis that the majority of elementary schools in Surakarta has a range of services that exceed the ideal standard, completeness infrastructure elementary school environment that is still not fullest yet and therefore have the safety and comfort on the road around the school is quite high. From the results obtained that the role of primary school services in support of child friendly city is still providing a sense of safety and comfort, although the condition of completeness lack of infrastructure facilities and elementary school services is far enough. Keywords: child friendly cities, elementary school, the role of education service
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.078 | 0.012 |
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 source (direct Gemma or distilled Codex), 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".