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Record W7124175641 · doi:10.18599/grs.2025.4.23

Main Oil Producing countries of north and south america: Factors of successes and Failures

2025· article· ru· W7124175641 on OpenAlex
N. N. Poussenkova, A. V. Sokolov

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGeoresursy · 2025
Typearticle
Languageru
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsGovernment (linguistics)Investment (military)Resource (disambiguation)Production (economics)Promotion (chess)Oil productionSustainable developmentEnergy sector

Abstract

fetched live from OpenAlex

The article investigates key success factors and reasons for failures of the oil sectors in countries of North and South America: Argentina, Brazil, Venezuela, Guyana, Canada, Colombia, and Mexico. It gives a brief overview of resource potential and dynamics of hydrocarbon production in these countries. The authors analyze such parameters of the oil sector development as technological progress, sector structure, efficient institutions, government energy policy, including fiscal system, energy reforms, i.e. promotion of competition, partial privatization of national oil companies, attraction of international oil corporations, ensuring a stable regulatory climate, and reasonable localization policy. Conclusion is made that a sustainable development of the oil sector and oil production growth that meets the strategic goals of the government depends not only on resource potential, but also on energy policy, sensible and timely reforms, viable institutions and favorable investment climate.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.009
GPT teacher head0.195
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