A bibliometric analysis of university administration in scientific literature
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: This paper identifies the key characteristics of university administration as an object of study, a subject of analysis, and a focus of research. Design/Methodology/Approach. The study employed a bibliometric methodology that utilized indicators of bibliographic elements. The Scopus platform served as the data source, from which a comprehensive selection of published works on university administration was obtained. Additionally, a thorough bibliographic review was conducted to describe the main identified research fronts. Results/Discussion. University administration, as a subject of study, encompasses a wide range of topics. There is a noticeable lack of specialized bibliographic production and a limited presence of publications in high-impact journals. Recent topics primarily focus on postcoital mental health studies and the role of university administration in this context. Notably, the United States, Canada, and China are at the forefront of research in this field. It is important to emphasize the significant increase in scientific output since the early 2000s. Conclusions: Research in university administration has seen a significant rise in the quantity of scientific publications indexed in Scopus. Originality/Value. The study's originality is manifested in the absence of precedents for similar results in the thematic area under study.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.058 | 0.250 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it