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Record W4407613004 · doi:10.21608/jpd.2025.410744

An Analytical Study Of The Role Of The Kuwait Development Fund In Addressing The Repercussions Of Disasters And Crises

2025· article· en· W4407613004 on OpenAlexaff
Ahmed Alenizi

Bibliographic record

VenueJournal of Productivity and Development · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsCouncil of Ministers of Education
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

The role of the fund locally is to support local development by preparing cadres for human development and community development through a group of local programs in various directions to achieve this and support society and advance it socially, scientifically and intellectually, and externally in supporting countries economically, socially and health by providing aid and grants for development and in the event of health, environmental and social disasters. The fund aims through this to cohesion and build the internal community and quickly achieve its goals and the participation of its members. As for the international community, it supports and develops it economically and socially to achieve the economic and political relations of the State of Kuwait to support the state and its advancement and strengthen its external relations, which are the most important objectives of the study and research. Conclusively,the study recommends the need for the Kuwait Development Fund to contribute to supporting local economic and social development and increasing the contribution of youth to development, and also to support development in countries that are experiencing disease conditions and disasters or the spread of epidemics and emergency circumstances in order to stand by those countries, which contributes to strengthening international relations and cooperation between the State of Kuwait and those countries.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.051
GPT teacher head0.289
Teacher spread0.238 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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