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Record W3034728452 · doi:10.6000/1929-7092.2020.09.22

Foreign Direct Investment (FDI) and Natural Resources: Blessing or Curse? Empirical Evidence from the Gulf Cooperation Council (GCC)

2020· article· en· W3034728452 on OpenAlexvenueno aff
Mohamed Elheddad, Resham Thapa- Parajuli, Majed Alharthi

Bibliographic record

VenueJournal of Reviews on Global Economics · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsBlessingCurseForeign direct investmentInternational economicsNatural resourceBusinessEconomicsInternational tradePolitical scienceMacroeconomicsGeographyLawSociology

Abstract

fetched live from OpenAlex

O estudo de casos de sistemas turísticos e enclaves teve como objetivo comparar situações de desenvolvimento e suas perspectivas do ponto de vista da sustentabilidade. O produto deste trabalho alimentou uma posterior discussão aplicada aos casos dos nossos sistemas turísticos da Serrada Bodoquena e Pantanal. Os sistemas analisados são os do México e Costa Rica, que com seus diferentes estágios de seu ciclo de vida mantêm lições a serem consideradas. Os exemplos de México e Costa Rica são os mais discutidos por explorarem o turismo alternativo e o turismo ecológico, além de sua semelhança com o Brasil. O método de trabalho fundamentou-se em bases secundárias e foi dividida em uma visão das potencialidades turísticas, suas gestões, seus problemas e as suas perspectivas de futuro. Ao final se discutiu, à luz destes casos, padrões de crescimento e efeitos sobre a sustentabilidade dos sistemas turísticos.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.216
GPT teacher head0.288
Teacher spread0.072 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations13
Published2020
Admission routes1
Has abstractyes

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Same venueJournal of Reviews on Global EconomicsSame topicNatural Resources and Economic DevelopmentFrench-language works237,207