The Mission of Basic Education That Is Overlooked in the Border Country (Case Study of Education Special Services for Indonesian Labor Child in Sebatik Island Indonesia-Malaysia Border)
Bibliographic record
Abstract
The border region is currently still very identical to the "limitations" so almost all border regions in Indonesia have nearly the same issue namely welfare gaps to the Community border as a result of the limitations of the various issues of basic infrastructure, education, health issues to social economic problems communities are still largely dependent on neighboring countries. In the field of education is known for all education jargon that became the Foundation of the movement the fulfillment of education for all. In order to achieve the goals of national education the flattens, quality, relevant and efficient as mandated by legislation of the national education system the number 20 in 2003, where special education and special services (PK-LK) need very basic education gets special attention. A labor of Indonesia (TKI) at the boundary of the country generally citizens of the entrants in the Emergency Department and is busy with his household economic activities. The condition implies less serious handling education for their child. This problem is compounded by the limited educational facilities at the border. To address this movement of strange education boundary is required.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".