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Record W3005117669 · doi:10.5430/ijhe.v9n3p15

A Proposal to Achieve Financial Independence in Prince Sattam Bin Abdulaziz University in Accordance with the New System of Universities and Vision 2030

2020· article· en· W3005117669 on OpenAlexvenueno aff
Mansour bin Zaid bin Ibrahim Al-Khathlan

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
FundersDeanship of Scientific Research, Prince Sattam bin Abdulaziz UniversityPrince Sattam bin Abdulaziz University
KeywordsOrder (exchange)Independence (probability theory)RespondentHigher educationUniversity systemFace (sociological concept)Subject (documents)Financial independenceBusinessPublic relationsPublic administrationPolitical scienceFinanceEngineering managementEngineeringEconomicsSociologyComputer scienceEconomic growth

Abstract

fetched live from OpenAlex

The current research addresses an important educational and administrative issue. It is the financing of universities and the potential that the university can achieve its goals and strive to develop the society away from any pressures. It may face from private or governmental institutions which may participate in funding them with the aim of implementing the new Saudi universities system. All universities and educational institutions rely on their own resources and diversify new funding resources to alleviate the state budget in order to achieve the independence of these institutions and give them freedom to achieve their goals, and also the strategic goals of the 2030 Vision for Saudi Arabia. In order to achieve the research main objective, a questionnaire is distributed to the respondent to know the current reality of universities on the subject of funding. We find and propose a number of ways for the university to be financially autonomous.

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)0.000
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 score0.394
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.293
Teacher spread0.285 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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