Bibliographic record
Abstract
Nowadays, Chinese society is marching into modernization in a pluralistic way, China's reform opening up has entered into a more profound cultural level. So how the public sector to keep up with this pace is a question people pondering. With the rapid development of modern society corresponding adjustments of the political economic structure, the public sector is lying in a flux reflux environment. The organizational system bureaucratic, closed conformist can not cope with the rapidly changing external environment, then only emphasizing an open organization personality, innovation, circulation interaction can a strong coordination resourceful ability possess. The progress of high technology the acceleration of knowledge update frequency not only has exacerbated the complexity of public organization system, but also increased the demand for creative talent. Therefore whether there is personalized competent working personnel have become the basic conditions of public organizations to respond to challenges of the current period, thus requiring the public sector pay close attention to the growth of complete ,personalized independent persons, encouraging staff member mature autonomously. The human resource of modern public sector has also proposed the concept of conscious management career development and so on, in order to stimulate workers to achieve self-worth via their professional career, thereby to gain feeling of self-satisfaction. Through properly handling with relationships between formal organizations informal organizations, along with the institutionalized managements, we will do realize emotional managements, finally by human managements to maximize organizational effectiveness. Key words : Public sector; Organizational culture; People-oriented
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 | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".