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Record W2152515433 · doi:10.5539/ies.v8n10p20

The Future Justification to Adopt Governance System at the Jordan Universities from the Perspective of Educational Experts

2015· article· en· W2152515433 on OpenAlexvenueno aff
Natheer Sihan Abu-Nair

Bibliographic record

VenueInternational Education Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityCorporate governanceTransparency (behavior)Delphi methodHigher educationPerspective (graphical)Political scienceSociologyDescriptive researchPublic relationsManagementSocial science

Abstract

fetched live from OpenAlex

The aim of the study was to reveal the future justification to adopt governance system at the Jordanian Universities from the perspective of educational experts. The study society was the academic staff in the field of education at Al-Balqa Applied University and Jordan University, at the first semester of the academic year 2013-2014. The study sample consisted of 30 academic members. The researcher used the analytical descriptive approach by using Delphi method as an analytical tool for the future justification. The questionnaire for the study consisted of 19 items after verifying its authenticity and approval. The results have revealed that the academic members agreed on the transparency factors and it was 88%. Also, they have agreed on accountability and control and it was (90%). They agreed on the justice and equality factors with a percentage of 94%. According to the results; the study has recommended that review obstacles to apply the concept of university governance which were: The general political climate, the university legislations, the university administration process. The researcher recommended that the concept of university governance and its implications still need more studies have to be conducted using different influential factors. Future directions for research, policy and practices are presented.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.696
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.047
GPT teacher head0.376
Teacher spread0.329 · 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 designTheoretical or conceptual
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

Citations1
Published2015
Admission routes1
Has abstractyes

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