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Record W3195354840 · doi:10.5539/cis.v14n4p1

The Role of e-Government in Enhancing Postgraduate Employment Transparency in Saudi Arabia

2021· article· en· W3195354840 on OpenAlexvenueno aff
Mohammed Alsaif

Bibliographic record

VenueComputer and Information Science · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicE-Government and Public Services
Canadian institutionsnot available
Fundersnot available
KeywordsTransparency (behavior)Public sectorGovernment (linguistics)AccountabilityAuditProcess (computing)UnemploymentLanguage changeE-GovernmentBusinessPublic relationsComputer scienceAccountingInformation and Communications TechnologyPolitical scienceEconomic growthComputer securityEconomicsWorld Wide Web

Abstract

fetched live from OpenAlex

One of e-Government implementation’s most notable advantages is the enhancement of transparency amongst public sector organizations that it brings, possibly caused by the availability of information, the newfound accountability, and the ability to track and monitor transactions within the public sector. With this in mind, the research at hand will centre on the issue of unemployment amongst postgraduates in Saudi Arabia, focusing on reaping the benefits of the centralised, highly efficient e-Government system to control the process of employment within Saudi universities and research centres. In this vein, this research proposes that e-Government (as well as other ICTs) should be tasked with fighting corruption by detailing the specifics and qualifications of the job-seeker in question within the relevant centralised websites. Indeed, such a process would allow for the filtering and selecting process by the employer to be both supervised and audited.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score0.209

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.011
GPT teacher head0.256
Teacher spread0.245 · 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
Published2021
Admission routes1
Has abstractyes

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