Empirical Analysis of Influencing Factors in Collaboration of Primary Industry and Tertiary Industry in Dujiangyan City, Sichuan Province, 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
Collaborative development of the thrice industrial is an important means for change of the economic development pattern on the basis of following the rule of industrial structure vicissitude. As an important water source in Chengdu City and an important ecological preservation area which has abundant tourism resources, industrial development of this region is relatively stable. It is a significant task of the municipal government of Dujiangyan to develop the primary industry and the tertiary industry in a collaborative way, which has great significance to effectively resolve the “three rural” issues in Dujiangyan and to promote social and economic development of Dujiangyan. This article makes sorting on important factors influencing the primary industry and tertiary industry in Dujiangyan through an empirical analysis and puts forward corresponding policies and suggestions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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