MétaCan
Menu
Back to cohort
Record W2099144129 · doi:10.5430/ijhe.v4n1p254

The Political, Socio-economic and Sociocultural Impacts of the King Abdullah Scholarship Program (KASP) on Saudi Arabia

2015· article· en· W2099144129 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Higher Education · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipPoliticsSociocultural evolutionPolitical scienceEconomic growthSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

Since 2006, Saudi Arabian politicians, economists and sociologists have had to consider the implications of their country’s King Abdullah Scholarship Program (KASP). Because Saudi Arabia has certain religious traditions and economic practices that are sensitive, international scholars are examining from different perspectives the outcomes and potential impacts of KASP. While Saudi Arabia has all the necessary tools to compete with the developed nations (such as natural resources and manpower), it is caught between the need to globalise its economy but retain its strict, conservative traditions. Following a brief definition of KASP, this paper highlights some of the external and internal contemporary political, economic and socio-cultural challenges that it sets for Saudi Arabia. Finally, the anticipated impacts of KASP according to scholarship recipients are reviewed using survey data from around 688 overseas Saudi students. This paper is based on the primary researcher’s PhD thesis.

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)0.001
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 score0.326
Threshold uncertainty score0.343

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 science0.0010.000
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 head0.040
GPT teacher head0.394
Teacher spread0.354 · 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