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Record W2485564657 · doi:10.2118/61009-ms

An Example of the Success of Legal and Institutional Reform in Romania

2000· article· en· W2485564657 on OpenAlexaboutno aff
Florina Sora, Adriana Eftimie

Bibliographic record

VenueSPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessPromotion (chess)PetroleumAgency (philosophy)Investment (military)Private sectorPetroleum industryInstitutionFinanceEconomic growthEconomicsEngineeringLawPolitical science

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.054
GPT teacher head0.240
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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