The Analysis of Statistics Legislative Value in China
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
Needs statistics legislation as an essential institutional guarantee for the development of statistics practice. The analysis of statistics legislative value can provide scientific guidance for construction of the concrete legislative norms. The utilitarian value analysis method can be used to illustrate the purpose attribute underlying in statistics legislative phenomena. Value target is a specific purpose contained in statistics legislation which is deemed as a kind of legal phenomenon; regarding law as the carrier objective, country, citizen and society as the function object objective, politics, economy and culture as the practice field objective. Value relation is the fundamental basis to realize the value target of statistics legislation. On the basis of clarifying the elements of value relation, a two-way interaction process between the subject and object of statistics legislative value can be generated via legislative requirement and value evaluation.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| 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