The TOPSIS Analysis on Regional Disparity of Economic Development in Zhejiang Province
Why this work is in the frame
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Bibliographic record
Abstract
This paper is aimed to evaluate the regional disparity of economic development in Zhejiang Province. According the principals of the criteria and the practical situation of the 11 cities, this paper makes the analysis by TOPSIS method through ten indicators, with the data from 2007 to 2009. This evaluation shows that there exists regional disparity of economic development among the 11 cities. Further, this paper investigates the reasons behind the disparity and discusses those cities’ roles in the whole province. Key words: Regional Disparity; Economic Development; TOPSIS Resume Cet article est destine a evaluer les disparites regionales de developpement economique dans la province du Zhejiang. Selon les principes de criteres et de la situation concrete des 11 villes, ce document fait l'analyse par la methode TOPSIS travers dix indicateurs, avec les donnees de 2007 a 2009. Cette evaluation montre qu'il existe des disparites regionales de developpement economique parmi les 11 villes. En outre, ce document examine les raisons derriere la disparite et discute des roles de ces villes dans toute la province. Mots cles: Disparite regionale; Developpement Economique; TOPSIS
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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