The Practice Innovation and Standardization Construction of the Assessment for Civil Servant at the Basic Level: Based on the Research of W County in Chongqing
Why this work is in the frame
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Bibliographic record
Abstract
Strengthening the assessment for civil servant at the basic level is the basis requirements of four comprehensive strategy. This paper empirically studies the practice innovation and standardization construction of the assessment for civil servants at the grass-roots level which takes W county in Chongqing as an example. The study found that: although W county has been established and widely publicized the civil servant assessment system, and achieved remarkable achievement in principles, contents, methods, procedures and results of assessment. but there are still non-standard problems such as the macro and abstract of assessment content, the non-conformance of method using, the lack of openness and feedback of procedure, the results highly concentrated and its use insufficient,etc.. That is because the understanding of assessment purpose and meaning is not clear, the scientific analysis and target management of strategy and position is lack, classified assessment is not scientific and meticulous, and process and standard is neither rigorous nor objective. therefore, this paper puts forward the standardization construction path of the civil servant assessment: to deepen the understanding of evaluation purpose and meaning by strengthen the consciousness education; To establish the reasonable classification grading assessment system by sufficient investigation and scientific research; To determine scientifically the assessment contents and index system through strategic management, target management and position analysis; According to the authority of civil servants and job characteristics, to determine scientifically the assessment main body; To innovate assessment method and technology by perfecting assessment system;To improve the results of the assessment feedback and its use by optimization evaluation procedures.
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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 | 0.038 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.048 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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