An Example of the Success of Legal and Institutional Reform in Romania
Bibliographic record
Abstract
Abstract The National Agency for Mineral Resources (NAMR) was eastablished in 1993 as the regulatory authority to administer the mineral resources of Romania. It is the competent authority under the new Petroleum Law, and its responsabilities include granting concessions based on a new concession agreement in line with the international industry practice, monitoring and controlling the observance of the provisions of the concession agreement, and issuing regulations for the petroleum sector. NAMR benefitted from various programs supported by the World Bank aimed at enhancing its capabilities. Of relevant importance are the "Petroleum Exploration Promotion Program" aimed at attracting private investment by foreign companies, and the "Development of Petroleum Industry Specific Environmental Management Program" financed from a Canadian Grant. The former contributed, through the transfer of know-how to NAMR's personnel, to their successful organizing of two licensing rounds, whereas the implementation of the latter lead to the establishment of environmental management units and preparation of environmental regulations related to the petroleum sector. Since its establishment NAMR has demonstrated its commitment towards implementing the legal reforms related to the Romanian Petroleum Sector and has proved to be a modern and viable institution in an emerging free market economy.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".