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Record W1521235441

ARAB DEVELOPMENT AID AND THE NEW DYNAMICS OF MULTILATERALISM: TOWARDS BETTER GOVERNANCE?

2014· article· en· W1521235441 on OpenAlex

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.

Bibliographic record

VenueEuropean Scientific Journal ESJ · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsCarleton University
Fundersnot available
KeywordsMultilateralismPolitical scienceCorporate governanceDevelopment aidEconomic growthAid effectivenessDevelopment economicsLeast Developed CountriesGross national incomeRegional scienceDeveloping countryGeographyEconomicsPoliticsManagement
DOInot available

Abstract

fetched live from OpenAlex

This study attempts to explore the evolution of the Arab Development Aid and contextualizes the Arab model of development aid vis-a-vis the DAC Model and the Southern Model shedding light on its transforming characteristics. The Kingdom of Saudi Arabia (KSA), Kuwait and the United Arab Emirates (UAE) have been among the most active donors in the world, with official development assistance (ODA) averaging 1.5 percent of their combined gross national income (GNI) during the period 1973-2008, more than twice the United Nations target of 0.7 percent and five times the average of the OECD-DAC countries. This paper approaches this model of development aid by focusing on: the changing nature of multilateral development framework and the rising role of emerging economies in the aid system; the basic tenets of the Arab aid development model and its current composition and characteristics; the challenges and future prospects for the Arab development aid and its potential role in engendering better governance mechanisms in the Arab region and globally with a case study on the case of the Qatar Development Fund.

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)0.005
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.013
GPT teacher head0.248
Teacher spread0.234 · 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