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
With the arrival of the era of knowledge-driven economy, private enterprises are required to accommodate themselves subject to the change of economic environment and to be highly innovative and adaptable. As a result, establishing a complete, competitive and motivating salary system is an important issue for private enterprises to face in order to maintain continuous development. There are a lot of problems of salary system in Chinese enterprises, and a lot of private enterprises do not have complete and scientific private salary systems and the regarding motivating systems. This article analyzed the current situation of planning salary of private enterprises in our country, announced the universal question that exists in private enterprises and the produced reasons, and gave some effective tactic on how to optimize the salary planning of private enterprises. Key words: Private enterprises, Salary, Salary planning Resume: Avec l’arrivee de l’epoque d’economie du savoir, les entreprises privees doivent s’adapter au changement de l’environnement economique et devenir innovatrices et adaptatives. Ainsi, etablir un systeme de salaire complet, competitif et actif est un moyen important pour les entreprises de maintenir le developpement continu. Il existe beaucoup de problemes en ce domaine dans les entreprises chinoises, et pas mal d’entreprises privees n’ont pas de systeme de salaire complet et scientifique, ni de systeme de motivations. L’article present analyse d’abord la situation actuelle de la planification de salaire des entreprises privees dans notre pays, puis revele la question universelle existant dans les entreprises privees et les raisons, et enfin, propose des tactiques effectives pour optimiser la planification de salaire des entreprises privees. Mots-Cles: entreprises privees, salaire, planification de salaire
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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