Research Into Management Mechanism and Operation of Off-Campus Practice Bases in High-Standard Characteristic Campus
Bibliographic record
Abstract
Off-campus practice base is a guarantee to promote education and teaching reforms and quality of school running and admission rate. After several rounds of integration over 14 years, Sichuan Animal Husbandry and Veterinary Medicine, predecessor of Southwest University Rongchang Campus, has been built into a high-standard campus with its own characteristic. With great attention paid to the establishment of off-campus practice bases, it has built more than 30 practice bases for its students. Against the backdrop, this paper puts forward a “six-combination” management mechanism, including the combination of campus and off-campus practice bases, the combination of campus, functional departments (like the educational administration department) and colleges, the combination of production and operation management of off-campus practice bases and campus teaching and scientific research, the combination of campus student entrepreneurship and off-campus practice bases, the combination of teaching simulation and off-campus practice bases, and the combination of campus majors or research directions and demands of off-campus practice bases. It is found that the operation of the “six-combination” management mechanism could achieve remarkable results, including vigorously guaranteeing the continuous and steady improving of talent training quality.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".