Pengelolaan Sektor-Sektor Publik Ekonomi dalam Kompilasi Hukum Ekonomi Syariah
Bibliographic record
Abstract
This paper is intended to add scientific insight into the management of the Islamic economic sector, especially in managing the public sectors of the economy. The problem raised in this paper is the position of the public sectors of the economy in meeting the basic needs of the community and managing public assets or state assets as part of the public sector of the economy in increasing state revenues according to the Compilation of Sharia Economic Law. The economic sector-public sector should be understood more than just an idea, given the vastness and breadth of this section managed by individuals or partners who ignore the interests and benefits of the people. As it is understood together, the public economic sectors basically provide and guarantee the availability of an infrastructure to improve the fulfillment of the economic needs of the community, in addition to being a sector that produces goods and services for defense education, and security as well as everything related to the public sector economy. Thus, this paper can present implications in accordance with the aims and objectives.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.083 | 0.028 |
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".