Evaluation of the Balance of Management Power Distribution in Universities Based on Analytic Hierarchy Process
Bibliographic record
Abstract
In order to realize the optimal distribution of university management power under the overall planning and scheduling mode, an evaluation model of university management power distribution balance based on analytic hierarchy process (AHP) is put forward, and a method based on the integration of Internet thinking and technology, a sampling model of characteristic information of university management power distribution balance under the overall planning and scheduling mode, According to the quantitative recursive analysis results of the sample data of university management power distribution balance under the overall planning and scheduling mode, the information fusion of university management power distribution under the overall planning and scheduling mode is carried out, the association rule fusion characteristic distribution parameter set of the panel data of university management power distribution balance under the overall planning and scheduling mode is extracted, and the data fusion of university management power distribution balance under the overall planning and scheduling mode is carried out by combining the joint statistical probability density distribution detection method.Combined with the piecewise linear estimation method, this paper constructs the statistical characteristics of the equilibrium evaluation of university management power distribution under the overall planning and scheduling mode, analyzes the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode according to the quantitative recursive analysis results of prior samples, extracts the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode, and clusters the information of the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode by structural characteristics extraction and fusion clustering methods.According to the results of distributed integration of features, it evaluates the balance of management power distribution in colleges and universities under the overall planning and scheduling mode.The simulation results show that this method has high accuracy and good confidence in evaluating the balance of management power distribution in colleges and universities under the overall planning ✉Corresponding author.
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 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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".