Peran Desa Sebagai Basis Migrasi Aman dalam Perlindungan Tenaga Kerja Indonesia
Bibliographic record
Abstract
The lack of knowledge possessed by Indonesian labor abroad gives rise to some vulnerability. An urgent problem to solve is the formulation of village regu-lations on the protection of the Pamijen Village workforce in order for Indonesian workers from Pamijen Village to be protected for safe migration and to ensure that abandoned families can educate abandoned children well. This research uses a qualitative approach because it has advantages in constructing social reality, cultural meaning, focusing on interactive processes and events. The authors discussed with Pamijen Village Government to get inputs related to improving the capacity of the village apparatus through training on the formulation of Village Regulations on the Protection of Indonesian Workers and then conducting public hearing activities through focus group discussions. The results of the research conducted in Pamijen Village, Sokaraja Sub-district resulted in an agreement to draft the Pamijen Village Rule of Re-gulation on the Protection of Prospective Indonesian Workers/ Indonesian Migrant Workers and Their Families Keywords: Village, Protection, Indonesian Worker
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".