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Record W4387867601 · doi:10.5539/jsd.v16n6p34

Economic Diversification in Kuwait Macroeconomic Implications

2023· article· en· W4387867601 on OpenAlexvenueno aff
Hassan Sharafuddin

Bibliographic record

VenueJournal of Sustainable Development · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsDiversification (marketing strategy)RevenueEconomic base analysisBusinessEconomicsNatural resource economicsEconomic policyFinanceMarketing

Abstract

fetched live from OpenAlex

The extraction of oil remains the single dominant economic activity in Kuwait. While it has long been understood that economic diversification is needed to support a more stable economic base and a higher standard of living, this has been challenging in Kuwait and other GCC countries. The petroleum revenues of Kuwait cannot last forever, however public and private sector industry is nearly entirely dependent on this source of revenue. Various planning and projects have been undertaken as a means of achieving some measure of economic diversification. This paper undertakes an integrative review to synthesizing the measures undertaken in Kuwait towards the aim of economic diversification and evaluation of those projects, considering current evidence and frameworks. The study found that one area where the economic future needs of Kuwait and the cultural sensibility align is in small business ownership, and this in combination with the latent and undercapitalized, well-educated labor force presents many opportunities for growth, diversification, and innovation by providing for new opportunities for Kuwaiti citizens in Kuwait.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.023
GPT teacher head0.225
Teacher spread0.202 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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