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Record W2948196413 · doi:10.5430/ijhe.v8n3p185

Governance in Mongolian Higher Education: A Comparative Analysis

2019· article· en· W2948196413 on OpenAlexvenueno aff
Altangerel Balgan

Bibliographic record

VenueInternational Journal of Higher Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityAutonomyHigher educationTransformative learningCorporate governanceContext (archaeology)Government (linguistics)Public administrationBusinessPolitical sciencePublic relationsEconomic growthSociologyEconomicsPedagogyFinance

Abstract

fetched live from OpenAlex

The author presents some analysis of HE governance in Mongolia in comparative framework. The presentation is devoted to University administration matters, particularly to relationship between Government and HEI, decision making regarding human resources, academic programs and research, setting tuition and fees.In highly competitive global context the key issues facing Mongolian Higher education are university autonomy, quality assurance, funding, program competitiveness and research effectiveness. Mongolian Government has approved National programs for development of outcome based HE system and research universities.Mongolian HEIs seeking more autonomy face strong challenges to cope with reduction of funding and accountability. Market oriented policies and demand to sustain a balance of teaching and research, urge HEIs to make a transition from traditional, politically motivated administration to corporate or shared governance models.The strengthening research links the industry and business without jeopardizing their academic integrity is main challenge for HEIs to make successful transition from traditional background of governance to more effective governance model. According to the author, transformative experiences and organizational developments of HEI in developed countries can be used successfully to guide actions towards positive catalyst change in Mongolian HE.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.019
GPT teacher head0.378
Teacher spread0.359 · 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.

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
Published2019
Admission routes1
Has abstractyes

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