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Record W4360777604 · doi:10.5267/j.ijdns.2023.1.002

Digital government, institutional development and public higher education

2023· article· en· W4360777604 on OpenAlexvenueno aff
Roberto Líder Churampi-Cangalaya, Miguel Fernando Inga-Ávila, Francisca Huamán-Pérez, Anieval Cirilo Peña-Rojas, Jacqueline Juanita Churampi-Cangalaya, Jesús Ulloa-Ninahuamán

Bibliographic record

VenueInternational Journal of Data and Network Science · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEducational and Organizational Development
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceGovernment (linguistics)Sample (material)Value (mathematics)E-GovernmentStructural equation modelingBusinessHigher educationE-governancePublic administrationPublic valuePolitical sciencePublic relationsSociologyInformation and Communications TechnologyMathematicsStatistics

Abstract

fetched live from OpenAlex

Digital governance, institutional development and public higher education in Huancayo-Perú in the new situation where remote activities are prioritized, the use of information technologies has increased in the different activities of organizations, allowing them to provide adequate services in an efficient way. The research seeks to establish the relationship between digital governance and institutional development in public higher education in Huancayo - Perú. Basic research with a quantitative approach and correlational level with a sample of 828 people made up of teaching staff, administrative staff and students who interact with the administrative activities of the UNCP. The data analysis and modeling was performed through structural equations based on PLS. As a result of the research, a value of 0.815 was obtained in Spearman's Rho and a significance level of .000, which indicates a high positive relationship, also the general hypothesis that establishes that there is a significant relationship between digital governance and institutional development is accepted.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.039
GPT teacher head0.272
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2023
Admission routes1
Has abstractyes

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