Reflection on Construction of Scientific Research Management Team in Colleges RÉFLEXION SUR LA CONSTRUCTION DE L'ÉQUIPE DE MANAGEMENT DE LA RECHERCHE SCIENTIFIQUE DANS LES UNIVERSITÉS
Bibliographic record
Abstract
Scientific research level is closely related to scientific research management in colleges and one of the most important factors, which is used to measure the scientific research level of a college, is the quality of the scientific research management personnel in it. The lag in the construction of scientific research management team in colleges is severe, which limits the innovation of scientific research management system in colleges. In this paper, the author holds the point that the scientific research in colleges needs a high-level scientific research management team instead of confining to one high-level scientific research team only. The construction of one structurally reasonable, well-trained and aggressive scientific research management team is the prerequisite for scientific research management to give full play to its management efficiency, which is also the key guarantee to continuously improve scientific research level. Furthermore, the author also proposes of countermeasures for improving the quality of scientific research management personnel in colleges. Key words: college, scientific research management, quality and capability, countermeasure Resume: Le niveau de recherche scientifique est etroitement lie au management de la recherche scientifique dans les universites et l’un des facteurs les plus importants, qui mesurent le niveau de recherche scientifique d’une ecole, est la qualite du personnel de management. Le retard de la construction de l’equipe de management de la recherche scientifique dans les universites est important, qui contraint l’innovation du systeme de management. Dans le present article, l’auteur insiste que la recherche scientifique des universites demande une equipe de management de haut niveau, au lieu de se borner seulement a une equipe de recherche de haut niveau. La construction d’une equipe de management structuralement raisonnable, bien entrainee et agressive est la condition necessaire pour la recherche scientifique de faire valoir pleinement son efficacite, qui est aussi la garantie cle de l’elevation du niveau de recherche scientifique. De plus, l’auteur propose aussi des mesures pour ameliorer la qualite du personnel de management de la recherche scientifique dans les universites. Mots-Cles: universite, management de la recherche scientifique, qualite et capacite, mesures
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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 | 0.014 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".