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Record W2081528394 · doi:10.5539/res.v7n2p49

Methodological Basis of Higher Education Institution Competiveness Assessment

2015· article· en· W2081528394 on OpenAlexvenueno aff
Светлана Игоревна Ашмарина, Gabibulla Khasaev, Irina Plaksina

Bibliographic record

VenueReview of European Studies · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionHigher educationBusinessPreferencePublic relationsPolitical scienceEconomicsEconomic growth

Abstract

fetched live from OpenAlex

The author’s standpoint regarding the category definition of “higher education institution competitiveness” is given in the paper. The most important characteristic of the general higher education institution competitiveness is defined as satisfaction of internal stakeholders—employees, achieved by means of implementing two directions: meeting employees’ needs in decent working conditions; meeting needs of external stakeholders to the fullest extent allowing personnel to be proud of belonging to a higher education institution. The authors revealed and systematized the factors influencing the level of higher education institution competitiveness. The methodological ideas on higher education institution competitiveness are considered and the authors’ technique of a higher education institution competitiveness assessment in educational services markets, scientific research and development, labor and general competitiveness including the following stages is presented: our opinion is that on the whole the technique of a higher education institution competitiveness assessment is to include the following stages: indicators formation of higher education institution competitiveness assessment and their classification according to competitiveness types; indicator distribution of a higher education institution competitiveness assessment in preference manner; an indicator assessment on the basis of the subjective and objective approach; an integrated indicator assessment of higher education institution competitiveness (the general one and by types of competitiveness). The need for use of the subjective and objective approach to a higher education institution competitiveness assessment is proved.

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)0.053
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0530.056
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0130.013
Science and technology studies0.0020.005
Scholarly communication0.0070.003
Open science0.0030.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.345
GPT teacher head0.424
Teacher spread0.079 · 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 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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