Methodological Basis of Higher Education Institution Competiveness Assessment
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.053 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.013 | 0.013 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".